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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. 4-RES-JB
    11. 2051
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    Explanations

    words related to logging activities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to timber and logging

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

    No Comments

    Negative Logits
    ile
    -0.83
    otic
    -0.72
    vy
    -0.68
    olar
    -0.68
    encies
    -0.66
    inct
    -0.66
    ktop
    -0.66
    isible
    -0.64
    emia
    -0.64
    idates
    -0.64
    POSITIVE LOGITS
     lumber
    1.26
     Timber
    1.05
     timber
    0.95
    glas
    0.92
    bats
    0.87
    yard
    0.85
     crane
    0.82
     logging
    0.81
    forestation
    0.79
    woods
    0.79
    Activations Density 0.028%

    No Known Activations