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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
    11. 154
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    Explanations

    verbs related to quick consumption or absorption

    oai_token-act-pair · gpt-3.5-turbo

    words associated with consumption or intake

    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
     condol
    -0.75
    hift
    -0.74
    terday
    -0.67
     handshake
    -0.67
     airstrike
    -0.67
    ertility
    -0.65
    omal
    -0.64
    IFE
    -0.63
    velt
    -0.61
     agre
    -0.61
    POSITIVE LOGITS
    blers
    1.05
    bled
    1.00
    ulated
    0.92
    ulations
    0.91
    ming
    0.91
    bling
    0.89
    ãĥ£
    0.88
    bage
    0.88
    ption
    0.86
    pled
    0.83
    Activations Density 0.027%

    No Known Activations