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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. 1-RES-JB
    11. 16025
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    oai_token-act-pair · gpt-3.5-turbo

    references to the number 85, particularly in contexts that suggest frequency or importance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eer
    -0.85
    ebus
    -0.76
    geist
    -0.72
    gement
    -0.71
    swick
    -0.69
    yang
    -0.69
    jriwal
    -0.68
    notice
    -0.67
    */(
    -0.66
    MSN
    -0.66
    POSITIVE LOGITS
     ILCS
    1.39
    %:
    0.84
    678
    0.78
    Thirty
    0.77
    astern
    0.75
    ENCY
    0.74
    ISH
    0.74
    ERSON
    0.73
    65
    0.73
    ASE
    0.73
    Activations Density 0.043%

    No Known Activations