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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. 1-RES-JB
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    Explanations

    the mention of a specific person's name followed by a numerical value

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Pot" as it relates to various contexts and characters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anwhile
    -0.80
     Witness
    -0.73
    dress
    -0.72
     preached
    -0.66
    sound
    -0.65
     Defenders
    -0.63
    draft
    -0.62
     detached
    -0.62
    idem
    -0.61
    ordinary
    -0.61
    POSITIVE LOGITS
    atoes
    1.51
    assium
    1.40
     Pot
    1.18
    Pot
    1.04
    hesda
    0.94
    entially
    0.93
    utonium
    0.88
    entials
    0.88
    itive
    0.87
    onga
    0.87
    Activations Density 0.005%

    No Known Activations