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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. 2-RES-JB
    11. 7929
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    Explanations

    words related to requests or requirements

    oai_token-act-pair · gpt-3.5-turbo

    references to demands or requests for action or change

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Bom
    -0.77
    beit
    -0.66
     Spit
    -0.65
    attery
    -0.63
    oscope
    -0.63
     Atomic
    -0.61
     Mayo
    -0.61
    space
    -0.60
    uss
    -0.60
    cester
    -0.60
    POSITIVE LOGITS
     demands
    1.00
     demanded
    0.90
    omething
    0.84
    cale
    0.81
     demanding
    0.77
    ngth
    0.75
    arov
    0.74
    ioned
    0.73
    ively
    0.73
    FontSize
    0.72
    Activations Density 0.018%

    No Known Activations