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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 18159
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    Explanations

    words related to grouping, categorization, or connections between different concepts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to associations and connections between concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    =-=-=-=-=-=-=-=-
    -0.79
    gm
    -0.74
    cale
    -0.72
    nl
    -0.66
    raq
    -0.65
    fare
    -0.65
    oÄŁ
    -0.63
    sets
    -0.61
    OUT
    -0.60
    stall
    -0.60
    POSITIVE LOGITS
     associations
    0.98
    eer
    0.97
    eering
    0.93
    ality
    0.93
     affili
    0.88
     association
    0.86
    esthesia
    0.79
    ually
    0.78
    eers
    0.77
    ally
    0.75
    Activations Density 0.030%

    No Known Activations