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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. 9-RES-JB
    11. 18032
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    Explanations

    phrases related to specific body movements or orientations, such as falling headfirst, walking heel to toe, running backwards and forwards, grinning from ear to ear

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to physical actions and movements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MAT
    -0.71
    gone
    -0.68
    ãĥ¤
    -0.67
    yn
    -0.65
    rame
    -0.63
    ggles
    -0.62
    pires
    -0.61
    Gam
    -0.59
    byter
    -0.58
    PN
    -0.57
    POSITIVE LOGITS
    aneously
    1.05
     onto
    0.94
     toward
    0.94
     towards
    0.92
     into
    0.85
    edly
    0.83
     across
    0.82
     against
    0.80
     during
    0.78
     throughout
    0.77
    Activations Density 0.413%

    No Known Activations