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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. 12563
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    Explanations

    words related to sewing and needlework

    oai_token-act-pair · gpt-3.5-turbo

    references to sewing and related activities

    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
     sovere
    -0.82
    itatively
    -0.80
    uate
    -0.79
    ãĤŃ
    -0.66
     Lowry
    -0.66
    ACP
    -0.65
    anish
    -0.62
    enture
    -0.60
    ogy
    -0.59
    gary
    -0.59
    POSITIVE LOGITS
    nesday
    0.91
    orld
    0.81
    elcome
    0.81
     seams
    0.79
    estern
    0.79
    nut
    0.74
    nuts
    0.72
    hew
    0.72
    elia
    0.71
    wn
    0.71
    Activations Density 0.043%

    No Known Activations