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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. 22968
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    Explanations

    words related to wheels or rolling

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific object or character type, emphasized by frequent mentions of "wheel 2"

    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
    uated
    -0.76
    uates
    -0.76
    urity
    -0.70
     Suc
    -0.69
    tics
    -0.66
    raviolet
    -0.65
    nces
    -0.65
    idental
    -0.65
     Debor
    -0.65
    uate
    -0.63
    POSITIVE LOGITS
    chairs
    1.48
    chair
    1.40
    wright
    1.27
    wheel
    1.17
    bar
    1.03
    base
    0.99
    house
    0.95
    loader
    0.90
    bars
    0.88
    hub
    0.87
    Activations Density 0.032%

    No Known Activations