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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. 2847
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    Explanations

    phrases related to proximity or nearness

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating proximity or closeness

    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
    ICAN
    -0.72
    AIN
    -0.70
    NZ
    -0.67
    çīĪ
    -0.65
    DoS
    -0.64
    STE
    -0.60
    urers
    -0.60
    ERG
    -0.58
    MT
    -0.58
     bearer
    -0.57
    POSITIVE LOGITS
     thereto
    1.05
     proximity
    0.93
     enough
    0.91
    sighted
    0.89
     to
    0.82
    enough
    0.78
     confines
    0.77
    enhagen
    0.74
    paren
    0.73
    iths
    0.70
    Activations Density 0.033%

    No Known Activations