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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. 6-RES-JB
    11. 24572
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    Explanations

    words related to evaluating or enforcing standards or conformity

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to social and political dynamics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ADRA
    -0.71
     conclud
    -0.68
    CLASSIFIED
    -0.66
    cknow
    -0.66
    Clar
    -0.65
     Canberra
    -0.64
    rison
    -0.63
    Bow
    -0.62
    iscons
    -0.61
    antics
    -0.61
    POSITIVE LOGITS
     bulk
    0.63
     fart
    0.63
     sidx
    0.62
     fancy
    0.62
     combustion
    0.61
     substr
    0.61
    ogie
    0.60
     Ambro
    0.60
     imprint
    0.59
    animate
    0.58
    Activations Density 0.659%

    No Known Activations