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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. 20014
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    Explanations

    mention of the word 'stew'

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "stew" and its variations, as well as mentions of related concepts

    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
    prus
    -0.76
    thodox
    -0.74
     Fasc
    -0.70
    Downloadha
    -0.70
    NetMessage
    -0.70
    sighted
    -0.67
    avorite
    -0.65
    anguage
    -0.64
    berra
    -0.64
    itten
    -0.62
    POSITIVE LOGITS
    ards
    1.19
     stew
    1.11
    ard
    1.06
    arding
    1.02
    itect
    0.98
    arded
    0.90
    ARDS
    0.88
     Stew
    0.88
    ARD
    0.84
    washer
    0.83
    Activations Density 0.013%

    No Known Activations