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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. 20315
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    Explanations

    dates in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    specific numerical codes or identifiers associated with events or dates

    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
    aleb
    -0.77
    rase
    -0.71
    ogenesis
    -0.68
    achus
    -0.68
    ovie
    -0.67
    ophon
    -0.63
    uras
    -0.62
     Antar
    -0.62
    urated
    -0.61
    ensed
    -0.61
    POSITIVE LOGITS
    00
    1.40
    th
    1.01
    017
    0.87
    50
    0.83
    nm
    0.81
    08
    0.80
    rd
    0.80
    015
    0.79
    06
    0.79
    ior
    0.78
    Activations Density 0.083%

    No Known Activations