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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. 6-RES-JB
    11. 24411
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    Explanations

    the phrase "get to" followed by an action or event

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "get to."

    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
    LY
    -0.66
     Rahman
    -0.66
     heartbeat
    -0.64
    frames
    -0.63
    CI
    -0.62
    abiding
    -0.61
     behav
    -0.61
     Beng
    -0.60
    audi
    -0.59
     evid
    -0.59
    POSITIVE LOGITS
     grips
    1.00
    asted
    0.96
    wered
    0.92
    pload
    0.82
    otom
    0.82
    itiveness
    0.77
    utonium
    0.76
    tted
    0.75
    ench
    0.75
    asty
    0.74
    Activations Density 0.058%

    No Known Activations