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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. 1392
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    Explanations

    phrases related to attempted actions or intentions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "but" indicating contrasts or exceptions

    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
    ocative
    -0.83
    icate
    -0.77
    venge
    -0.71
    igr
    -0.69
    icative
    -0.68
    esta
    -0.68
    solid
    -0.66
    aez
    -0.66
    chool
    -0.64
    è¦ļéĨĴ
    -0.63
    POSITIVE LOGITS
     alas
    1.38
     couldn
    1.17
     failed
    1.08
     instead
    1.07
     unfortunately
    1.07
     realised
    1.05
     ended
    1.01
     realized
    0.99
     forgot
    0.99
     lacked
    0.96
    Activations Density 0.123%

    No Known Activations