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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. 15270
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    INDEX
    Explanations

    references to consumer-related entities or topics

    oai_token-act-pair · gpt-3.5-turbo

    mentions of consumer-related organizations and terms

    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
    inx
    -0.76
     sleeper
    -0.72
    rams
    -0.72
    night
    -0.70
    unda
    -0.70
    hov
    -0.69
    undo
    -0.67
    kers
    -0.67
    apo
    -0.66
    heimer
    -0.66
    POSITIVE LOGITS
     goods
    0.95
     electronics
    0.87
    umers
    0.82
    consumer
    0.81
    ism
    0.80
     Staples
    0.79
     Electronics
    0.78
    ized
    0.78
    ists
    0.76
    ised
    0.75
    Activations Density 0.030%

    No Known Activations