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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. 23012
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    Explanations

    unique symbols or characters

    oai_token-act-pair · gpt-3.5-turbo

    special symbols or characters in the text

    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
    orts
    -0.70
    odcast
    -0.69
    onies
    -0.68
    ient
    -0.67
    eks
    -0.67
    ruck
    -0.66
    lene
    -0.64
    pping
    -0.63
    ppe
    -0.63
    angu
    -0.61
    POSITIVE LOGITS
    ––
    1.19
    ————
    0.83
     Rapp
    0.77
    _>
    0.76
    anooga
    0.74
    âĸº
    0.72
    _-
    0.72
    achu
    0.72
    ————————
    0.70
    ////////////////////////////////
    0.66
    Activations Density 0.099%

    No Known Activations