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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. 3-RES-JB
    11. 18124
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    INDEX
    Explanations

    phrases related to intention or objective

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "purpose" or related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Wolves
    -0.66
     Ashes
    -0.64
     Roses
    -0.63
     Thumbnails
    -0.63
     Drops
    -0.61
     Neighbor
    -0.61
    etts
    -0.61
     Colossus
    -0.61
     Leone
    -0.60
    thumbnails
    -0.59
    POSITIVE LOGITS
    lessly
    1.10
    ful
    1.09
    lessness
    0.97
    folios
    0.94
    fully
    0.92
    ality
    0.92
    fulness
    0.88
    fare
    0.84
    casting
    0.82
    purpose
    0.78
    Activations Density 0.011%

    No Known Activations