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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. 4-RES-JB
    11. 24319
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    INDEX
    Explanations

    words related to various perceptions or interpretations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to perception and its influence on various contexts

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

    No Comments

    Negative Logits
    Interstitial
    -0.69
    chn
    -0.68
    eni
    -0.68
    hatt
    -0.67
    cker
    -0.65
    swick
    -0.64
    annis
    -0.64
    bye
    -0.64
    loads
    -0.64
    pez
    -0.64
    POSITIVE LOGITS
     perceptions
    0.94
     perception
    0.89
     Perception
    0.84
     impressions
    0.78
    ually
    0.76
     disson
    0.76
     Wiz
    0.73
     impression
    0.72
     opin
    0.72
     aversion
    0.70
    Activations Density 0.014%

    No Known Activations