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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
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    Explanations

    the word "stew" with varying degrees of relevance around the context of cooking or simmering

    oai_token-act-pair · gpt-3.5-turbo

    references to "stew" and related culinary or metaphorical terms

    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
    Downloadha
    -0.84
    berman
    -0.67
    ologies
    -0.66
    berra
    -0.61
    bered
    -0.60
     Fasc
    -0.59
     quote
    -0.59
    clipse
    -0.58
    asive
    -0.58
    orph
    -0.57
    POSITIVE LOGITS
     stew
    1.46
     Stew
    1.14
    ards
    1.06
    arding
    0.95
    ard
    0.94
    arded
    0.89
    itect
    0.84
     stewards
    0.84
    wyn
    0.83
    ARDS
    0.80
    Activations Density 0.004%

    No Known Activations