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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. 3-RES-JB
    11. 22659
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    Explanations

    interesting things or topics

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "interesting."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oise
    -0.83
    arest
    -0.77
    helle
    -0.69
    reditation
    -0.69
    á
    -0.67
    heit
    -0.67
    uts
    -0.66
    inators
    -0.65
    otent
    -0.65
    aping
    -0.65
    POSITIVE LOGITS
     Flavoring
    0.84
     tid
    0.82
     interesting
    0.76
    Magikarp
    0.75
     resil
    0.74
    lihood
    0.74
     trivia
    0.72
     sidel
    0.72
    TextColor
    0.71
     newsp
    0.71
    Activations Density 0.022%

    No Known Activations