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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. 1-RES-JB
    11. 18701
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    INDEX
    Explanations

    phrases expressing understanding or reasonableness

    oai_token-act-pair · gpt-3.5-turbo

    terms indicating comprehension or rationale

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ammy
    -0.93
    rieg
    -0.79
    instein
    -0.75
    berman
    -0.74
    apixel
    -0.73
    rams
    -0.73
    hips
    -0.72
     experimented
    -0.72
    rongh
    -0.71
    aster
    -0.71
    POSITIVE LOGITS
     understandable
    1.26
     partName
    0.90
    ãĤ¦ãĤ¹
    0.78
     "$:/
    0.78
     disapp
    0.76
    gif
    0.76
     indignation
    0.75
    ="#
    0.74
    ãħĭ
    0.72
    ãĥĥ
    0.72
    Activations Density 0.007%

    No Known Activations