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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. 22813
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    Explanations

    words related to vision or perception

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with visibility and visual perception

    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
    rera
    -0.69
     Malaysian
    -0.68
    riad
    -0.66
    dale
    -0.62
    riage
    -0.62
     Funding
    -0.61
     Investors
    -0.61
     subp
    -0.60
    ãĥ¤
    -0.59
     Cause
    -0.59
    POSITIVE LOGITS
     vis
    1.03
     challeng
    1.03
     versa
    0.89
    lihood
    0.86
    ets
    0.81
    ially
    0.79
    thood
    0.78
    ophone
    0.77
    cer
    0.76
    uo
    0.76
    Activations Density 0.008%

    No Known Activations