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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. 3273
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    Explanations

    timestamps in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    timestamps or time-related information

    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
     attendance
    -0.68
    enger
    -0.63
     availability
    -0.61
     prominently
    -0.60
     stakes
    -0.59
    emouth
    -0.59
     participation
    -0.57
     carriers
    -0.56
     dormant
    -0.55
     frequent
    -0.55
    POSITIVE LOGITS
     dx
    0.82
    06
    0.76
    075
    0.76
    07
    0.74
    05
    0.74
    04
    0.72
    1969
    0.72
    59
    0.71
    1959
    0.71
    09
    0.71
    Activations Density 0.051%

    No Known Activations