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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. 7-RES-JB
    11. 18036
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    Explanations

    commands or prompts indicated by the use of '>' symbol

    oai_token-act-pair · gpt-3.5-turbo

    greater-than symbols followed by numbers or commands in a structured format

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -1.10
     destro
    -1.06
    yssey
    -0.91
    ModLoader
    -0.86
    entimes
    -0.85
    erville
    -0.83
    oria
    -0.80
    onial
    -0.79
    teenth
    -0.78
     neighb
    -0.77
    POSITIVE LOGITS
    _>
    1.29
    =>
    0.80
    PsyNetMessage
    0.79
    ALL
    0.73
    Rated
    0.72
    .<
    0.68
     >
    0.64
    Average
    0.64
    RO
    0.64
    ++++
    0.64
    Activations Density 0.017%

    No Known Activations