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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. 4426
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    Explanations

    names of famous people or characters

    oai_token-act-pair · gpt-3.5-turbo

    names of notable individuals and related terms

    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
    theless
    -0.74
    flush
    -0.68
    etheless
    -0.67
     allowances
    -0.67
     compe
    -0.67
     cutoff
    -0.66
    mble
    -0.66
     advis
    -0.66
     satisf
    -0.66
     wise
    -0.66
    POSITIVE LOGITS
     ..."
    0.91
    ?,
    0.84
     Vol
    0.78
    ;;;;;;;;;;;;
    0.74
     Named
    0.74
    SPONSORED
    0.74
     guiName
    0.72
    thood
    0.70
     (?,
    0.70
    ?",
    0.70
    Activations Density 0.327%

    No Known Activations