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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. 3-RES-JB
    11. 3148
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    Explanations

    phrases related to locations, specifically mentioning "parking lot"

    oai_token-act-pair · gpt-3.5-turbo

    references to parking lots

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sonian
    -0.91
    worldly
    -0.70
     fearless
    -0.67
     microscopic
    -0.67
     fictional
    -0.67
    irtual
    -0.66
    zyk
    -0.65
    Reviewer
    -0.64
     FANTASY
    -0.63
    incarn
    -0.63
    POSITIVE LOGITS
    stones
    0.93
    bage
    0.85
    ages
    0.83
    pole
    0.81
    area
    0.80
     attendants
    0.79
    tery
    0.79
    lot
    0.78
    bag
    0.77
    ickle
    0.77
    Activations Density 0.022%

    No Known Activations