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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. 1-RES-JB
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    Explanations

    references to a specific type of food - sandwiches

    oai_token-act-pair · gpt-3.5-turbo

    mentions of sandwiches

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aft
    -0.80
    mberg
    -0.75
    orne
    -0.72
    pmwiki
    -0.71
    gp
    -0.67
     bidding
    -0.66
    redited
    -0.65
    axis
    -0.65
    negative
    -0.64
     uncontrolled
    -0.63
    POSITIVE LOGITS
     sandwich
    1.40
     sandwiches
    1.37
     Sandwich
    1.18
     salads
    1.01
     toast
    0.96
    wich
    0.95
     popcorn
    0.95
    eering
    0.91
    bowl
    0.91
    oute
    0.88
    Activations Density 0.008%

    No Known Activations