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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. 6-RES-JB
    11. 15307
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    INDEX
    Explanations

    contexts mentioning consumers or activities that affect consumers

    oai_token-act-pair · gpt-3.5-turbo

    references to consumers and their experiences or concerns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Stall
    -0.64
    tein
    -0.61
    SourceFile
    -0.61
     Thing
    -0.61
     Goat
    -0.60
    staff
    -0.60
     Hat
    -0.60
     Ski
    -0.59
     Monkey
    -0.59
     Skull
    -0.59
    POSITIVE LOGITS
    umers
    1.43
    hip
    1.04
    ervatives
    0.95
    pace
    0.94
    hips
    0.92
    erv
    0.88
    cript
    0.87
    umer
    0.86
    iband
    0.86
    ele
    0.84
    Activations Density 0.041%

    No Known Activations