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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. 4-RES-JB
    11. 1835
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    Explanations

    mentions of various types of boots

    oai_token-act-pair · gpt-3.5-turbo

    references to boots, particularly in terms of their style and description

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

    No Comments

    Negative Logits
    ADRA
    -0.79
    terday
    -0.76
    encers
    -0.71
    Ĭ±
    -0.71
     Newsp
    -0.71
     neurot
    -0.70
    kefeller
    -0.69
    idate
    -0.67
    berman
    -0.67
     pregn
    -0.67
    POSITIVE LOGITS
    strap
    1.89
    loader
    1.17
    stra
    1.05
    legged
    1.03
    camp
    0.93
    leg
    0.89
     boot
    0.84
     loader
    0.84
    lake
    0.83
    load
    0.82
    Activations Density 0.006%

    No Known Activations