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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. 10-RES-JB
    11. 12485
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    Explanations

    timestamps in the format of hours and minutes

    oai_token-act-pair · gpt-3.5-turbo

    sequences of colons, likely indicating time stamps or lists

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inarily
    -0.71
    inate
    -0.69
     authority
    -0.67
    VIDIA
    -0.63
     saf
    -0.61
    ality
    -0.60
     indefinitely
    -0.60
    ohl
    -0.59
    ificant
    -0.58
     exce
    -0.58
    POSITIVE LOGITS
    00
    1.49
    30
    1.47
    50
    1.38
    55
    1.38
    45
    1.38
    58
    1.35
    59
    1.34
    51
    1.34
    05
    1.33
    40
    1.33
    Activations Density 0.035%

    No Known Activations