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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. 9-RES-JB
    11. 15097
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    Explanations

    phrases enclosed in quotation marks

    oai_token-act-pair · gpt-3.5-turbo

    quotes and dialogue within the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     administrators
    -0.81
     editing
    -0.77
     Archdemon
    -0.76
     Blacks
    -0.76
     IDs
    -0.75
     elements
    -0.75
     ups
    -0.75
     exits
    -0.75
     ov
    -0.74
     addresses
    -0.74
    POSITIVE LOGITS
    few
    1.32
    very
    1.31
    huge
    1.25
    classic
    1.25
    little
    1.23
    reasonable
    1.21
    significant
    1.20
    special
    1.19
    highly
    1.19
    virtual
    1.18
    Activations Density 0.051%

    No Known Activations