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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. 0-RES-JB
    11. 11931
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    Explanations

    proper nouns related to locations or names

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals and the places associated with them

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tar
    -0.78
    ment
    -0.77
     envelope
    -0.75
    mental
    -0.73
     geo
    -0.71
    ahs
    -0.70
    phrase
    -0.69
    ora
    -0.69
    phant
    -0.68
    AH
    -0.66
    POSITIVE LOGITS
     Brun
    4.20
     Brunswick
    1.74
     Britt
    1.43
     brun
    1.41
     Bruno
    1.33
     Bru
    1.31
     Carn
    1.30
     Fren
    1.27
     Brittany
    1.20
     Brus
    1.18
    Activations Density 0.044%

    No Known Activations