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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. 23843
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    Explanations

    phrases related to changes in state or condition, such as cooling down, calming down, settling down, easing up, and softening up

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to slowing down or calming down processes or actions

    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
    vice
    -0.64
     stake
    -0.63
    ceivable
    -0.62
    dn
    -0.62
    cat
    -0.60
    ãĥĥãĤ¯
    -0.60
    ä¿
    -0.60
    ãĤ¨ãĥ«
    -0.59
    ãĥīãĥ©
    -0.59
    hip
    -0.59
    POSITIVE LOGITS
     considerably
    1.00
    amina
    0.83
     nicely
    0.81
     sufficiently
    0.80
     slightly
    0.79
     somewhat
    0.78
     tremendously
    0.72
     periods
    0.71
     tremend
    0.70
     awhile
    0.68
    Activations Density 0.142%

    No Known Activations