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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. 7-RES-JB
    11. 16707
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    INDEX
    Explanations

    phrases related to specific circumstances or requirements

    oai_token-act-pair · gpt-3.5-turbo

    references to various conditions, particularly in socio-political contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sonian
    -0.95
    umbn
    -0.79
    ilus
    -0.78
    ramid
    -0.76
    adesh
    -0.76
     Flavoring
    -0.70
    ritz
    -0.69
    ilee
    -0.68
    yright
    -0.68
    zac
    -0.66
    POSITIVE LOGITS
     conditions
    1.08
    pring
    0.91
     Conditions
    0.91
     conducive
    0.91
     deterior
    0.88
     deteriorated
    0.85
     worsened
    0.83
     quo
    0.82
     condition
    0.77
    aldehyde
    0.77
    Activations Density 0.021%

    No Known Activations