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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. 6478
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    INDEX
    Explanations

    verbs that describe actions or states that are significant or impactful

    oai_token-act-pair · gpt-3.5-turbo

    verbs indicating negative or limiting actions

    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
    zo
    -0.62
    conn
    -0.62
    tone
    -0.61
    sw
    -0.59
    ples
    -0.59
    rez
    -0.56
    bia
    -0.55
     Newman
    -0.54
    expr
    -0.54
    bow
    -0.53
    POSITIVE LOGITS
    ometimes
    1.06
    omething
    0.96
    hift
    0.90
    paces
    0.82
    hirt
    0.77
    ilver
    0.76
    ynthesis
    0.75
    ettings
    0.74
    heet
    0.71
    afety
    0.70
    Activations Density 0.444%

    No Known Activations