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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. 11-RES-JB
    11. 24035
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    Explanations

    words related to financial activities or crimes

    oai_token-act-pair · gpt-3.5-turbo

    keywords associated with financial and legal issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     initials
    -0.65
     Daylight
    -0.65
    OTOS
    -0.64
     dots
    -0.62
    DOC
    -0.61
     orally
    -0.61
     Âł Âł Âł Âł Âł Âł Âł Âł
    -0.58
     Bronze
    -0.58
     prin
    -0.57
    Priv
    -0.57
    POSITIVE LOGITS
    roying
    1.41
    ielding
    1.13
    renched
    1.09
    usting
    1.05
    itored
    1.05
    angling
    1.05
    umping
    1.03
    aundering
    1.03
    asing
    1.02
    aturated
    1.02
    Activations Density 0.120%

    No Known Activations