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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. 4-RES-JB
    11. 20554
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    Explanations

    product codes or identifiers

    oai_token-act-pair · gpt-3.5-turbo

    references to RP (Release Points) and related technical specifications

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

    No Comments

    Negative Logits
    gie
    -0.78
    ãĤ¤ãĥĪ
    -0.73
     EntityItem
    -0.71
    atorial
    -0.67
     à¨
    -0.66
    女
    -0.65
    batch
    -0.64
    brates
    -0.64
    chool
    -0.64
    Year
    -0.63
    POSITIVE LOGITS
    senal
    1.02
    ublic
    1.01
    RP
    0.96
    ACE
    0.91
    rint
    0.88
    retty
    0.87
    acing
    0.86
    olicy
    0.85
    olitics
    0.85
    ython
    0.82
    Activations Density 0.005%

    No Known Activations