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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 21080
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    Explanations

    words related to direction or orientation

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating direction or movement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     NZ
    -0.84
    NZ
    -0.77
     organisation
    -0.74
     organised
    -0.73
     UK
    -0.72
    colour
    -0.72
     flavour
    -0.72
     util
    -0.72
     colour
    -0.71
     authorised
    -0.71
    POSITIVE LOGITS
     toward
    3.52
     towards
    2.68
     Towards
    1.88
     Tow
    1.45
    oward
    1.37
     upward
    1.06
     downward
    1.02
     favoring
    0.99
     favorably
    0.92
     farther
    0.89
    Activations Density 0.024%

    No Known Activations