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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
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    Explanations

    terms related to specific brain structures

    oai_token-act-pair · gpt-3.5-turbo

    references to striatal neurons and related conditions

    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
    ORGE
    -0.88
     Annotations
    -0.82
    RAFT
    -0.78
    EEK
    -0.78
     Izan
    -0.73
     AQ
    -0.73
    é¾
    -0.73
    æĺ¯
    -0.71
     Danish
    -0.70
    EVA
    -0.69
    POSITIVE LOGITS
     stri
    1.16
    pling
    1.14
    plings
    1.04
    ppings
    0.99
    ving
    0.97
    pper
    0.93
    ven
    0.91
    uten
    0.86
    cipled
    0.83
     claw
    0.83
    Activations Density 0.010%

    No Known Activations