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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. 2601
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    Explanations

    headlines or titles within a story, possibly indicating important or prominent information

    oai_token-act-pair · gpt-3.5-turbo

    mentions of news stories or articles

    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
    orpor
    -0.78
     stocking
    -0.74
    inence
    -0.73
     corpor
    -0.72
     swear
    -0.68
    rome
    -0.66
    atern
    -0.66
    gel
    -0.65
    omm
    -0.64
     retiring
    -0.64
    POSITIVE LOGITS
    Story
    1.43
     Story
    1.11
     Stories
    1.00
    story
    0.95
     Transcript
    0.87
     Assass
    0.86
    telling
    0.84
     Lines
    0.83
    Line
    0.81
    LIN
    0.80
    Activations Density 0.009%

    No Known Activations