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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. 5096
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    Explanations

    phrases related to physical exertion or forceful actions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to sports and physical competition

    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
    phrine
    -0.75
     hatch
    -0.73
    redo
    -0.68
    uyomi
    -0.67
     Socket
    -0.67
    cean
    -0.63
    beard
    -0.62
     sensing
    -0.62
    ldom
    -0.62
     connections
    -0.61
    POSITIVE LOGITS
    umm
    0.91
     hur
    0.89
    Ru
    0.84
    seless
    0.72
     Summers
    0.71
     Breach
    0.68
    angers
    0.68
    hou
    0.68
    amen
    0.67
    gerald
    0.66
    Activations Density 0.021%

    No Known Activations