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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. 8-RES-JB
    11. 3938
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    Explanations

    dates in the format 'month day'

    oai_token-act-pair · gpt-3.5-turbo

    dates, specifically those in April

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atem
    -0.71
     VIDEOS
    -0.70
    ancial
    -0.66
    XT
    -0.65
    perm
    -0.62
    swick
    -0.62
    reb
    -0.60
    sort
    -0.60
    vous
    -0.59
    ahime
    -0.59
    POSITIVE LOGITS
     Fool
    1.24
    flower
    0.93
    eteenth
    0.93
     Madness
    0.86
    onna
    0.83
    fair
    0.82
    nard
    0.81
    berry
    0.78
    iversary
    0.75
     29
    0.74
    Activations Density 0.020%

    No Known Activations