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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. 11714
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    Explanations

    words related to wheels or wheel-related activities

    oai_token-act-pair · gpt-3.5-turbo

    repeated references to wheels and related terms indicating mechanical features

    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
    uates
    -0.79
    uated
    -0.77
     ABE
    -0.76
    ropolitan
    -0.75
    orescent
    -0.70
    raviolet
    -0.70
     Grounds
    -0.67
    ocado
    -0.67
     Suc
    -0.67
     Sunshine
    -0.67
    POSITIVE LOGITS
    chairs
    1.34
    chair
    1.25
    wright
    1.18
    wheel
    1.11
    base
    0.96
    wash
    0.92
    house
    0.89
    bar
    0.86
    horn
    0.85
    Wheel
    0.84
    Activations Density 0.025%

    No Known Activations