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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. 12960
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    INDEX
    Explanations

    phrases related to credibility or validation

    oai_token-act-pair · gpt-3.5-turbo

    references to credibility or reliable sources

    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
    rador
    -0.70
    syn
    -0.70
    swick
    -0.70
    iped
    -0.69
    efined
    -0.68
    Cop
    -0.68
    NRS
    -0.66
    ocular
    -0.66
    raph
    -0.64
    solete
    -0.64
    POSITIVE LOGITS
    lihood
    1.09
    rences
    0.90
    ence
    0.85
    nces
    0.84
    ences
    0.84
     Vict
    0.82
    llor
    0.78
    phal
    0.78
    ment
    0.72
    ance
    0.72
    Activations Density 0.020%

    No Known Activations