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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. 4-RES-JB
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    Explanations

    mentions of the sports team "Reds"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the "Reds" team or related entities

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

    No Comments

    Negative Logits
    SPONSORED
    -0.90
    renheit
    -0.74
    tml
    -0.67
     WATCHED
    -0.65
    staking
    -0.65
     Georgian
    -0.65
    uters
    -0.64
     Filipino
    -0.64
    RELATED
    -0.63
    Population
    -0.63
    POSITIVE LOGITS
     Reds
    1.07
    seys
    0.90
    kins
    0.83
     ANGEL
    0.81
    kin
    0.80
    cliffe
    0.78
    geist
    0.74
     Hope
    0.73
     Rouge
    0.71
    ucer
    0.69
    Activations Density 0.004%

    No Known Activations