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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. 23311
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    INDEX
    Explanations

    words related to physical locations such as landmarks and geographic features

    oai_token-act-pair · gpt-3.5-turbo

    terms related to contours and outlines

    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
    onen
    -0.65
     racks
    -0.63
     raft
    -0.62
     ethic
    -0.62
     goats
    -0.61
     reckoning
    -0.59
     maturity
    -0.58
    enium
    -0.57
     forwards
    -0.57
     inver
    -0.57
    POSITIVE LOGITS
    ilial
    0.85
    erences
    0.76
    xual
    0.72
    ateral
    0.71
    ت
    0.70
    âĶĢâĶĢâĶĢâĶĢ
    0.70
    ental
    0.69
    pict
    0.69
    usional
    0.68
     Flavoring
    0.68
    Activations Density 0.064%

    No Known Activations