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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. 3-RES-JB
    11. 14820
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    Explanations

    phrases that are used to qualify a statement in a less precise or exact manner

    oai_token-act-pair · gpt-3.5-turbo

    terms that indicate an approximate or imprecise relationship

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Org
    -0.76
     Enhancement
    -0.74
     Lovely
    -0.72
    zees
    -0.71
    iaries
    -0.70
    olphin
    -0.70
    yl
    -0.69
    */(
    -0.68
    igate
    -0.68
    inctions
    -0.66
    POSITIVE LOGITS
     loosely
    1.07
     veiled
    0.84
     exting
    0.79
    atory
    0.75
     affiliated
    0.74
     dispersed
    0.69
     vers
    0.67
    luster
    0.67
    interstitial
    0.67
    unct
    0.66
    Activations Density 0.012%

    No Known Activations