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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. 1-RES-JB
    11. 17995
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    INDEX
    Explanations

    phrases related to eligibility criteria

    oai_token-act-pair · gpt-3.5-turbo

    terms indicating eligibility for various programs or incentives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pread
    -0.71
    hunt
    -0.70
     Principles
    -0.67
     Alps
    -0.67
    war
    -0.66
    il
    -0.65
    ĸļ
    -0.65
    Else
    -0.64
    q
    -0.63
    aster
    -0.63
    POSITIVE LOGITS
     eligible
    1.17
    untarily
    1.00
    uates
    0.93
    eligible
    0.93
     ineligible
    0.92
    igible
    0.91
     recipients
    0.90
     disqualified
    0.88
     borrowers
    0.84
     applicants
    0.84
    Activations Density 0.006%

    No Known Activations