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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. 8080
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    Explanations

    words related to marches or walks

    oai_token-act-pair · gpt-3.5-turbo

    words related to marches or organized events

    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
    Owner
    -0.77
    ı
    -0.73
    rated
    -0.66
     Crit
    -0.66
     rated
    -0.65
    odynamic
    -0.64
     Extras
    -0.63
    BN
    -0.63
     Buddy
    -0.63
    Crit
    -0.62
    POSITIVE LOGITS
     march
    3.75
     marches
    2.82
     marching
    2.29
     marched
    2.26
     parade
    1.75
     procession
    1.64
     rally
    1.43
     rall
    1.41
     Parade
    1.28
     vigil
    1.26
    Activations Density 0.023%

    No Known Activations