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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. 24
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    INDEX
    Explanations

    phrases related to directions and movements

    oai_token-act-pair · gpt-3.5-turbo

    directional movements and positioning

    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
    DN
    -0.84
    anan
    -0.82
    urion
    -0.78
    yre
    -0.77
    mong
    -0.76
    nation
    -0.74
    argon
    -0.74
    gerald
    -0.73
    auld
    -0.72
    oleon
    -0.72
    POSITIVE LOGITS
    wards
    1.06
    ward
    0.97
     axis
    0.90
     bends
    0.88
     curv
    0.84
     orbit
    0.84
     diameter
    0.83
     toward
    0.82
     circular
    0.81
     towards
    0.80
    Activations Density 0.097%

    No Known Activations