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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. 6-RES-JB
    11. 21873
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    Explanations

    verbs related to physical actions involving pulling or tugging

    oai_token-act-pair · gpt-3.5-turbo

    actions related to physical pulling or manipulating

    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
    nation
    -0.74
    mun
    -0.74
    ãĥ´ãĤ¡
    -0.73
    ãĥ´
    -0.72
    ãĥĸ
    -0.71
    ãĥ¼ãĥĨãĤ£
    -0.71
    Percent
    -0.69
    ibel
    -0.69
    antics
    -0.68
    Miller
    -0.67
    POSITIVE LOGITS
     levers
    0.90
     downwards
    0.83
     away
    0.82
     upward
    0.81
    chairs
    0.81
    lift
    0.79
     awa
    0.79
     wrestle
    0.77
     downward
    0.76
    awed
    0.76
    Activations Density 0.092%

    No Known Activations