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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. 12-RES-JB
    11. 2891
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    Explanations

    words related to security, compliance, and market analysis

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    terms related to evaluations and assessments in economic or bureaucratic contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
    reau
    -0.76
    nz
    -0.73
    chy
    -0.70
    otic
    -0.69
    nik
    -0.67
    ynt
    -0.66
    ammy
    -0.66
    alist
    -0.65
    ij士
    -0.64
    ĸļ
    -0.62
    POSITIVE LOGITS
    ances
    1.05
    iments
    0.96
    utions
    0.94
    ibilities
    0.86
    ions
    0.84
    ities
    0.79
    IONS
    0.76
    ATIONS
    0.75
    iment
    0.73
    ences
    0.73
    Activations Density 0.096%

    No Known Activations