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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. 4-RES-JB
    11. 20723
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    Explanations

    instances of legal consequences such as fines

    oai_token-act-pair · gpt-3.5-turbo

    references to financial penalties or fines

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

    No Comments

    Negative Logits
    oscope
    -0.80
     Identity
    -0.72
    Ops
    -0.71
    omorph
    -0.66
    ãĥĥãĥī
    -0.66
     Lives
    -0.66
    rists
    -0.65
    Witness
    -0.64
     Architects
    -0.63
     Encounter
    -0.63
    POSITIVE LOGITS
    alties
    1.05
     levied
    0.93
     fines
    0.92
     penalties
    0.82
     viol
    0.78
    hooting
    0.76
     totaling
    0.76
     relief
    0.75
     totaled
    0.73
     fined
    0.73
    Activations Density 0.010%

    No Known Activations