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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. 3-RES-JB
    11. 13216
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    Explanations

    phrases indicating difficulty or ease in situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    phrases indicating difficulty

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anwhile
    -0.92
    ufact
    -0.78
    catentry
    -0.73
     Signed
    -0.67
    earchers
    -0.66
     laun
    -0.66
    hovah
    -0.63
    assetsadobe
    -0.63
     Niet
    -0.63
    xual
    -0.62
    POSITIVE LOGITS
     richer
    0.74
    iola
    0.73
    safe
    0.71
    vind
    0.70
    roads
    0.69
    cone
    0.69
     tidy
    0.65
    gregation
    0.65
     easier
    0.63
    clean
    0.63
    Activations Density 0.333%

    No Known Activations