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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. 9-RES-JB
    11. 20029
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    Explanations

    references to legal terms or legal proceedings

    oai_token-act-pair · gpt-3.5-turbo

    the presence of text markers related to liturgical themes or contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SPONSORED
    -0.74
    Downloadha
    -0.70
    088
    -0.67
     principals
    -0.65
     Immun
    -0.64
    REDACTED
    -0.63
    axter
    -0.61
    ITY
    -0.60
    ITIES
    -0.60
    CVE
    -0.60
    POSITIVE LOGITS
    igating
    1.29
    igated
    1.27
    urgy
    1.25
    urgical
    1.22
    ters
    1.20
    igious
    1.19
    igation
    1.18
    igators
    1.14
    igator
    1.08
    eral
    1.07
    Activations Density 0.025%

    No Known Activations