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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. 10-RES-JB
    11. 16186
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    Explanations

    phrases related to bearing costs, burdens, shares, and responsibilities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to bearing responsibility or costs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rehend
    -0.76
    uyomi
    -0.75
    iety
    -0.70
    ournal
    -0.67
    utherford
    -0.66
    nn
    -0.66
    ires
    -0.64
    ikers
    -0.64
    itely
    -0.63
    lessly
    -0.63
    POSITIVE LOGITS
     brunt
    1.69
     blame
    1.46
     responsibility
    1.31
     burden
    1.20
     lion
    1.16
     bulk
    1.12
     spo
    1.06
     mantle
    1.04
     slack
    1.01
     majority
    0.98
    Activations Density 0.245%

    No Known Activations