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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. 21300
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    Explanations

    metaphorical references to adversity or problems, particularly those related to challenging situations or criticism

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating challenges or problems in various contexts

    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
     unaccompanied
    -0.77
    AUD
    -0.76
    ascript
    -0.70
    APH
    -0.70
    xual
    -0.69
    ellig
    -0.68
    ALLY
    -0.67
    WAY
    -0.66
    DragonMagazine
    -0.66
    orously
    -0.66
    POSITIVE LOGITS
     heels
    0.82
     proverbial
    0.72
     stone
    0.71
     bucket
    0.71
     Rails
    0.69
     cake
    0.66
     crown
    0.65
     sore
    0.64
     iceberg
    0.64
    monds
    0.64
    Activations Density 0.249%

    No Known Activations