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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. 11-RES-JB
    11. 16347
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    Explanations

    the word "Bay" at various activations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Bay Area

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    terday
    -0.87
    ITED
    -0.69
    iferation
    -0.64
     heartbeat
    -0.63
     obstruction
    -0.62
    isers
    -0.60
     imped
    -0.59
    IGHTS
    -0.59
    igham
    -0.59
     Nadu
    -0.59
    POSITIVE LOGITS
    esian
    1.24
     Area
    1.24
    onne
    1.24
    onet
    1.22
    ou
    1.02
    Area
    0.98
    front
    0.91
    ern
    0.90
    liner
    0.90
    area
    0.87
    Activations Density 0.025%

    No Known Activations