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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. 9-RES-JB
    11. 24128
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    Explanations

    locations or objects positioned next to something or someone

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating proximity or positioning next to something or someone

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    lance
    -0.77
    QL
    -0.72
    erning
    -0.70
    inet
    -0.67
    chell
    -0.67
    uncture
    -0.66
    nation
    -0.66
    amara
    -0.66
    jab
    -0.66
    ologic
    -0.65
    POSITIVE LOGITS
     hers
    0.97
     ours
    0.84
     mine
    0.81
     theirs
    0.76
     fireplace
    0.75
     Interstate
    0.75
     him
    0.74
    rium
    0.72
     stairs
    0.71
     desks
    0.70
    Activations Density 0.136%

    No Known Activations