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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. 1950
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    Explanations

    adverbs ending in '-ly'

    oai_token-act-pair · gpt-3.5-turbo

    adverbs that describe actions or qualities emphatically

    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
     GOODMAN
    -0.79
    VL
    -0.77
    OTOS
    -0.70
     LH
    -0.68
    INC
    -0.67
     sockets
    -0.66
    afety
    -0.66
    istor
    -0.64
    itu
    -0.63
    ession
    -0.63
    POSITIVE LOGITS
     titled
    0.78
     performed
    0.76
     entertained
    0.75
     paced
    0.71
    forth
    0.71
     employed
    0.71
    yy
    0.71
    beit
    0.70
    bus
    0.70
     discharged
    0.69
    Activations Density 0.067%

    No Known Activations