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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. 3-RES-JB
    11. 9753
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    Explanations

    phrases related to direction or contribution

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to directionality or movement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iasis
    -0.73
    cats
    -0.72
    tel
    -0.71
    crew
    -0.69
    drivers
    -0.68
    cu
    -0.68
    chini
    -0.67
    CD
    -0.67
    DN
    -0.66
    lic
    -0.66
    POSITIVE LOGITS
    wards
    0.98
     towards
    0.95
    WARD
    0.94
    ward
    0.94
     toward
    0.91
     Towards
    0.80
     infinity
    0.77
    vernment
    0.76
     fulfil
    0.76
    itiveness
    0.70
    Activations Density 0.017%

    No Known Activations