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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. 7-RES-JB
    11. 23899
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    Explanations

    keywords related to highlighting specific items or locations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "spot."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    issance
    -0.96
    yss
    -0.81
    perty
    -0.71
     confir
    -0.70
    anwhile
    -0.67
     godd
    -0.67
     adolesc
    -0.66
    idth
    -0.65
    wake
    -0.64
    RR
    -0.64
    POSITIVE LOGITS
    lights
    1.47
    ter
    1.07
    ting
    1.00
    ty
    0.94
    light
    0.93
    eele
    0.91
    ters
    0.91
    tery
    0.90
    lighting
    0.88
    kick
    0.86
    Activations Density 0.026%

    No Known Activations