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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. 1-RES-JB
    11. 473
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    Explanations

    phrases or words that are emphasized or pointed out as important

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "highlighted" indicating emphasis on certain topics or issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cas
    -0.76
    atell
    -0.75
    opic
    -0.74
    ope
    -0.74
    per
    -0.73
    appro
    -0.71
    shake
    -0.71
    proxy
    -0.69
    perate
    -0.69
    nery
    -0.69
    POSITIVE LOGITS
     highlighted
    1.05
    TextColor
    0.96
     highlighting
    0.95
     highlights
    0.87
    ocument
    0.81
     showc
    0.73
     showcasing
    0.73
     prominently
    0.73
    OWS
    0.73
    umenthal
    0.72
    Activations Density 0.012%

    No Known Activations