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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 8890
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    Explanations

    words related to titles, like "You", "When", "Once", "Almost", "Some Might Say", "This", "Really", "Together", "Both", "Week", "Every", "Around", "World", "Amazing", "Means", "Because They", "Every",

    oai_token-act-pair · gpt-3.5-turbo

    unique punctuation or formatting elements in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     expulsion
    -0.73
    hement
    -0.67
     sabotage
    -0.66
     tame
    -0.65
     defamation
    -0.65
     stem
    -0.65
     chast
    -0.65
     atro
    -0.64
     shedding
    -0.64
     reg
    -0.63
    POSITIVE LOGITS
    Else
    1.09
     Own
    0.99
    tons
    0.93
     Happ
    0.86
     Unknown
    0.83
    Us
    0.81
     Breat
    0.79
    opolis
    0.78
     guiIcon
    0.77
    !,
    0.77
    Activations Density 0.285%

    No Known Activations