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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. 6-RES-JB
    11. 7501
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    Explanations

    references to the abbreviation "RS" which appears in technical contexts and possibly related to different versions or levels

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "RS" followed by a numerical designation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    leck
    -0.85
    aneously
    -0.81
    aneous
    -0.75
     Contra
    -0.75
    berman
    -0.73
    mercial
    -0.71
    framework
    -0.70
    renheit
    -0.69
    tin
    -0.69
     Samoa
    -0.68
    POSITIVE LOGITS
    VP
    1.17
    RS
    1.07
    ACK
    0.89
    acks
    0.86
    232
    0.83
    hea
    0.82
     RS
    0.82
    senal
    0.81
    485
    0.79
    het
    0.79
    Activations Density 0.015%

    No Known Activations