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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. 2-RES-JB
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    Explanations

    references to objects related to movement or transportation, particularly wheels

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of "wheel" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ropolitan
    -0.80
    nces
    -0.72
     ABE
    -0.72
    alien
    -0.70
    ctuary
    -0.69
    orescent
    -0.67
    anamo
    -0.64
    vati
    -0.64
    aeda
    -0.64
     Castro
    -0.63
    POSITIVE LOGITS
    wheel
    1.24
    chairs
    1.18
    wright
    1.08
    chair
    1.06
     wheel
    0.99
    Wheel
    0.92
    wash
    0.85
    whe
    0.84
    inson
    0.80
    bar
    0.80
    Activations Density 0.006%

    No Known Activations