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    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. 14605
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    Explanations

    references to physical locations, particularly where events or interactions are taking place

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the phrase "in front of."

    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
    cci
    -0.96
    aren
    -0.75
     Preferred
    -0.73
    zie
    -0.73
    uffle
    -0.71
    ixtape
    -0.69
    chini
    -0.69
    atto
    -0.68
    IRO
    -0.68
    vil
    -0.68
    POSITIVE LOGITS
    woods
    0.77
    aday
    0.76
    eering
    0.74
     teeth
    0.74
    office
    0.72
    runners
    0.71
    stad
    0.71
    ed
    0.68
    screen
    0.68
    matter
    0.67
    Activations Density 0.013%

    No Known Activations