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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. 6-RES-JB
    11. 13982
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    Explanations

    references to locations or spatial descriptions

    oai_token-act-pair · gpt-3.5-turbo

    references to doors and windows

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hemy
    -0.78
    iard
    -0.75
    Bal
    -0.74
    unin
    -0.74
    aiden
    -0.71
    oin
    -0.70
    thood
    -0.70
    erity
    -0.69
    ð
    -0.69
    nir
    -0.66
    POSITIVE LOGITS
     flyers
    0.84
     wrinkles
    0.73
     backdoor
    0.72
     frustrations
    0.69
     flyer
    0.68
     curfew
    0.68
     reluct
    0.67
     laundry
    0.66
    stretched
    0.66
     puff
    0.65
    Activations Density 0.233%

    No Known Activations