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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. 7-RES-JB
    11. 180
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    Explanations

    dates in the format of day-month-year

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the number 29

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ates
    -0.85
    omial
    -0.80
    ento
    -0.76
    atum
    -0.76
    allo
    -0.75
    icable
    -0.75
    omatic
    -0.75
    oday
    -0.74
    ovie
    -0.73
    aneers
    -0.71
    POSITIVE LOGITS
    00
    0.97
    06
    0.84
    08
    0.83
    09
    0.82
    VEL
    0.82
    IELD
    0.79
    07
    0.77
    theless
    0.76
    05
    0.76
    uth
    0.75
    Activations Density 0.027%

    No Known Activations