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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. 4-RES-JB
    11. 12199
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    Explanations

    years expressed in four digits

    oai_token-act-pair · gpt-3.5-turbo

    numerical addresses or location identifiers

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

    No Comments

    Negative Logits
     tremend
    -0.74
     boun
    -0.68
    querque
    -0.67
     fict
    -0.67
    vana
    -0.59
     explan
    -0.59
    ĸļ
    -0.58
     reluct
    -0.58
     KKK
    -0.57
    aunted
    -0.56
    POSITIVE LOGITS
     ILCS
    0.87
    bps
    0.84
    MHz
    0.83
    Tea
    0.82
    994
    0.79
    953
    0.78
    900
    0.78
    GMT
    0.78
     MHz
    0.77
    657
    0.77
    Activations Density 0.099%

    No Known Activations