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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 23047
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    INDEX
    Explanations

    phrases indicating a need for action or intervention

    oai_token-act-pair · gpt-3.5-turbo

    terms related to necessity and conditions for action

    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
    guyen
    -0.74
    lua
    -0.69
    roots
    -0.65
    adra
    -0.64
    iov
    -0.64
    gemony
    -0.64
    tty
    -0.64
     apartheid
    -0.63
    aval
    -0.63
    itle
    -0.63
    POSITIVE LOGITS
     prompts
    0.82
     introdu
    0.77
     guiIcon
    0.68
    .''.
    0.67
    intendent
    0.67
    .","
    0.67
    entimes
    0.66
     intervene
    0.65
     directs
    0.65
    iary
    0.65
    Activations Density 0.039%

    No Known Activations