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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. 7-RES-JB
    11. 14141
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    Explanations

    phrases related to associations or connections between different entities

    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe associations or correlations between different concepts or phenomena

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    stall
    -0.73
    umblr
    -0.70
    pan
    -0.67
    tein
    -0.67
    aneers
    -0.66
    annis
    -0.66
    AIR
    -0.65
    gur
    -0.65
    nl
    -0.64
    mpeg
    -0.64
    POSITIVE LOGITS
    ively
    0.97
    atively
    0.92
    ativity
    0.81
    ative
    0.80
    esthetic
    0.73
    enza
    0.72
    ational
    0.72
    ually
    0.71
     affili
    0.69
     associations
    0.69
    Activations Density 0.041%

    No Known Activations