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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. 2-RES-JB
    11. 8275
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    Explanations

    words related to emphasizing or pointing out important aspects or events

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    thood
    -0.82
    zin
    -0.72
    ldon
    -0.70
    hood
    -0.70
    etheless
    -0.70
    perate
    -0.69
    uscript
    -0.69
    peat
    -0.68
    aah
    -0.67
    sett
    -0.67
    POSITIVE LOGITS
     highlights
    1.05
     reel
    0.94
    TextColor
    0.82
     Highlights
    0.80
     highlight
    0.80
     highlighting
    0.77
     loopholes
    0.74
    OWS
    0.73
    ibilities
    0.72
    ="#
    0.70
    Activations Density 0.014%

    No Known Activations