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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. 3701
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    Explanations

    mentions of things being predominantly of a certain type or group

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "mostly."

    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
     Kard
    -0.79
    alid
    -0.78
    ongyang
    -0.72
    anth
    -0.71
     Bray
    -0.69
    ilion
    -0.67
    iry
    -0.67
    yth
    -0.66
    angers
    -0.65
    IDA
    -0.65
    POSITIVE LOGITS
     consisted
    0.91
     consist
    0.85
     consisting
    0.84
     comprised
    0.83
     consists
    0.82
     lacking
    0.82
     scattered
    0.81
     populated
    0.76
     concentrated
    0.76
     composed
    0.75
    Activations Density 0.010%

    No Known Activations