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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. 1343
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    Explanations

    highlights or key points within a text

    oai_token-act-pair · gpt-3.5-turbo

    the term "Highlights" and related references to notable content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    essee
    -0.94
    nery
    -0.93
    geoning
    -0.84
    atorial
    -0.80
    alysis
    -0.79
    oking
    -0.78
    ice
    -0.78
    esthes
    -0.76
    gas
    -0.76
    ggy
    -0.75
    POSITIVE LOGITS
     Highlights
    1.18
     Features
    0.86
     RELEASE
    0.78
     Hover
    0.78
     Battery
    0.77
    ailable
    0.76
    CRIP
    0.75
     GAME
    0.72
     Hamb
    0.72
    NF
    0.70
    Activations Density 0.017%

    No Known Activations