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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. 3910
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    Explanations

    phrases related to the functional abilities or operations of individuals or systems

    oai_token-act-pair · gpt-3.5-turbo

    terms related to systems, processes, and their operational effectiveness

    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
    cott
    -0.76
    ented
    -0.69
    xx
    -0.67
    Swe
    -0.65
    Ult
    -0.64
    fet
    -0.64
    yah
    -0.63
    ondo
    -0.63
    yi
    -0.62
    ju
    -0.62
    POSITIVE LOGITS
     functioning
    1.14
    icter
    1.00
     Lumpur
    0.88
    folios
    0.81
     behavi
    0.80
    glers
    0.79
    allery
    0.77
    ional
    0.75
     Pengu
    0.73
     TAG
    0.72
    Activations Density 0.007%

    No Known Activations