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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. 1600
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    Explanations

    references to radio talk shows and hosts

    oai_token-act-pair · gpt-3.5-turbo

    references to talk shows and their hosts

    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
    aples
    -0.70
     Soldier
    -0.65
    rette
    -0.63
     Allies
    -0.61
     Scotia
    -0.61
    nea
    -0.59
     stocking
    -0.59
     handc
    -0.57
    undai
    -0.57
    ————
    -0.56
    POSITIVE LOGITS
    ership
    1.01
    ative
    0.94
    radio
    0.89
    tion
    0.85
    about
    0.83
    ers
    0.81
    ignment
    0.79
    ularity
    0.79
    ies
    0.78
    bone
    0.78
    Activations Density 0.044%

    No Known Activations