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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. 3-RES-JB
    11. 12565
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    Explanations

    years or time periods indicated with 'mid' followed by a specific number

    oai_token-act-pair · gpt-3.5-turbo

    references to "mid" along with numerical ranges, specifically indicating time periods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Magikarp
    -0.77
    edIn
    -0.76
    çīĪ
    -0.75
    itsch
    -0.71
     Immunity
    -0.71
     Redemption
    -0.68
     Parties
    -0.66
     Bearing
    -0.66
     Wheels
    -0.65
     Galileo
    -0.64
    POSITIVE LOGITS
    ummer
    0.93
     mids
    0.92
    cellaneous
    0.90
    -'
    0.89
    iors
    0.87
    mid
    0.85
    season
    0.83
     twenties
    0.82
    cture
    0.81
    century
    0.81
    Activations Density 0.012%

    No Known Activations