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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. 21119
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    Explanations

    proper names or phrases related to law and legal matters

    oai_token-act-pair · gpt-3.5-turbo

    mentions of names or terms associated with fields, likely in a context related to crime or legal matters

    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
    ILA
    -0.78
    externalActionCode
    -0.77
     millenn
    -0.75
     exha
    -0.74
     undermin
    -0.72
     conflic
    -0.71
     disemb
    -0.71
     recip
    -0.71
    ccording
    -0.71
     allowable
    -0.70
    POSITIVE LOGITS
    field
    1.10
    fields
    0.98
    ridge
    0.85
    ers
    0.81
    FIELD
    0.80
    VIEW
    0.76
    wood
    0.75
    ert
    0.75
    er
    0.74
    view
    0.73
    Activations Density 0.011%

    No Known Activations