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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. 3-RES-JB
    11. 24145
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    Explanations

    references to tailgating activities

    oai_token-act-pair · gpt-3.5-turbo

    references to tails in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    PsyNetMessage
    -0.70
    razil
    -0.69
    iscopal
    -0.68
    psons
    -0.67
    oulos
    -0.65
    henko
    -0.65
    éĹĺ
    -0.64
    byter
    -0.62
     cannabin
    -0.61
    theless
    -0.61
    POSITIVE LOGITS
    bone
    1.07
    tails
    0.94
    tail
    0.92
     Tail
    0.86
     fins
    0.85
    pole
    0.85
    piece
    0.82
    pipe
    0.81
    ings
    0.81
     feathers
    0.79
    Activations Density 0.013%

    No Known Activations