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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. 2-RES-JB
    11. 23155
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    Explanations

    words related to film production techniques and equipment

    oai_token-act-pair · gpt-3.5-turbo

    terms related to video highlights and physical attributes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    earable
    -0.77
    ovo
    -0.74
    auga
    -0.74
    atchewan
    -0.73
     abolition
    -0.70
    oke
    -0.70
    illian
    -0.69
    idad
    -0.69
    isions
    -0.67
    ipeg
    -0.67
    POSITIVE LOGITS
    GGGGGGGG
    0.94
    UGE
    0.82
     Ago
    0.81
    lect
    0.81
    LECT
    0.80
    abouts
    0.77
    uminati
    0.72
    cffff
    0.72
     reel
    0.71
    THING
    0.70
    Activations Density 0.023%

    No Known Activations