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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

    mentions of legal actions involving plaintiffs

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "plaintiffs" and variations of it

    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
    olls
    -0.76
    eful
    -0.72
    oco
    -0.71
    apo
    -0.70
    alin
    -0.68
    efully
    -0.67
     [|
    -0.67
    ointment
    -0.66
    ories
    -0.66
    untu
    -0.66
    POSITIVE LOGITS
     plaintiffs
    1.06
    iffs
    0.93
     plaintiff
    0.90
     suing
    0.88
    ']
    0.78
     defendants
    0.76
     allege
    0.73
    '
    0.73
     Plaint
    0.73
     attorneys
    0.71
    Activations Density 0.013%

    No Known Activations