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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. 7374
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    Explanations

    specific instances or details mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    specific incidents or events related to attacks or notable occurrences

    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
    ãĥĥãĥī
    -0.78
    ertain
    -0.78
    imon
    -0.76
    opian
    -0.70
     worldly
    -0.68
    itu
    -0.68
    pees
    -0.65
    itters
    -0.64
     belie
    -0.64
    iciency
    -0.63
    POSITIVE LOGITS
     Roland
    0.78
     titled
    0.73
     Galileo
    0.70
    sets
    0.69
     Dracula
    0.66
     namely
    0.66
    milo
    0.66
    0000000000000000
    0.64
     Luther
    0.63
    avia
    0.63
    Activations Density 0.884%

    No Known Activations