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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. 11-RES-JB
    11. 1294
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    Explanations

    phrases related to cause-and-effect relationships

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to cause-and-effect relationships

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
    ipel
    -0.85
    igr
    -0.70
    cffffcc
    -0.66
    vernment
    -0.65
    anian
    -0.63
     ILCS
    -0.62
    uay
    -0.62
    ouston
    -0.61
     euth
    -0.61
    ILE
    -0.59
    POSITIVE LOGITS
     Testament
    0.97
    soType
    0.73
     Able
    0.71
     excuse
    0.68
     obligation
    0.68
    isSpecialOrderable
    0.67
    effect
    0.65
    requisite
    0.65
     effect
    0.64
     Effect
    0.64
    Activations Density 0.106%

    No Known Activations