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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. 9-RES-JB
    11. 7074
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    INDEX
    Explanations

    phrases starting with "As always" or "As usual"

    oai_token-act-pair · gpt-3.5-turbo

    expressions indicating consistency or repetition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arag
    -0.84
    abases
    -0.77
    kefeller
    -0.74
    agra
    -0.73
    aeper
    -0.72
    amera
    -0.71
    estyle
    -0.69
    ihad
    -0.68
    fram
    -0.68
    ollar
    -0.67
    POSITIVE LOGITS
     Sunny
    0.70
     disclaimer
    0.70
     disclaim
    0.68
     suspects
    0.67
    ILLE
    0.62
     happens
    0.60
     Spoiler
    0.60
    ,—
    0.59
     when
    0.59
     unlucky
    0.58
    Activations Density 0.044%

    No Known Activations