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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. 22744
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    Explanations

    mentions of the word "vel" with varying activation levels

    oai_token-act-pair · gpt-3.5-turbo

    references to varying levels of expertise or skill

    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
    riad
    -0.73
    phone
    -0.72
     "$:/
    -0.69
    cffffcc
    -0.69
     Shinra
    -0.68
     charism
    -0.66
    olicy
    -0.64
    apter
    -0.64
    arij
    -0.63
    acity
    -0.63
    POSITIVE LOGITS
    ocity
    1.24
    vet
    0.93
    icit
    0.80
    s
    0.75
    ange
    0.75
    theless
    0.74
    ength
    0.73
    istically
    0.72
    edged
    0.71
    ounge
    0.71
    Activations Density 0.019%

    No Known Activations