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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. 2-RES-JB
    11. 13852
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    INDEX
    Explanations

    mentions of or references to consumers

    oai_token-act-pair · gpt-3.5-turbo

    references to consumers and their interests or behaviors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    apo
    -0.68
    FLAG
    -0.66
     Hat
    -0.63
    yss
    -0.61
     Shore
    -0.61
     Knight
    -0.60
    tein
    -0.60
     Sau
    -0.59
     Kitchen
    -0.58
     Kaufman
    -0.57
    POSITIVE LOGITS
    umers
    1.48
     consumers
    0.96
    ervatives
    0.86
     beware
    0.85
     shoppers
    0.85
    omore
    0.84
    consumer
    0.83
    igr
    0.81
    hip
    0.80
    folk
    0.79
    Activations Density 0.011%

    No Known Activations