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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. 17928
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    Explanations

    years mentioned in texts

    oai_token-act-pair · gpt-3.5-turbo

    references to specific years or significant historical events

    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
    ype
    -0.64
    RN
    -0.61
     tomorrow
    -0.59
    ube
    -0.59
    TY
    -0.58
    Applic
    -0.58
    Tomorrow
    -0.58
    JP
    -0.58
     Whip
    -0.55
    ARY
    -0.55
    POSITIVE LOGITS
    -'
    0.88
    staking
    0.82
    ullah
    0.78
     onwards
    0.74
     controvers
    0.71
     when
    0.71
    volent
    0.68
    obyl
    0.67
     forcibly
    0.66
     sparked
    0.66
    Activations Density 0.178%

    No Known Activations