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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. 18384
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    INDEX
    Explanations

    phrases related to someone's perception or interpretation of a situation or individual

    oai_token-act-pair · gpt-3.5-turbo

    expressions of subjective opinions or perceptions

    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
    annis
    -0.76
    conservancy
    -0.73
     annex
    -0.71
    yne
    -0.68
    moving
    -0.66
    vez
    -0.66
    foreseen
    -0.66
     contiguous
    -0.65
     challeng
    -0.64
    regulated
    -0.64
    POSITIVE LOGITS
     impression
    1.22
     impressions
    1.13
    uren
    0.94
    eless
    0.78
    IELD
    0.77
     Poc
    0.73
     perceptions
    0.72
    eful
    0.70
     Wiz
    0.70
    rait
    0.69
    Activations Density 0.014%

    No Known Activations