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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

    the word "hosts."

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "hosts"

    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
     Rite
    -0.75
    utherford
    -0.74
    ucket
    -0.70
    edia
    -0.68
    prints
    -0.64
    pton
    -0.64
    Translation
    -0.64
     Sabha
    -0.61
    vor
    -0.60
    yth
    -0.60
    POSITIVE LOGITS
     hosts
    1.19
     host
    1.01
    Host
    1.00
    host
    0.90
    paces
    0.85
    esses
    0.85
     Host
    0.80
    poons
    0.80
     hosting
    0.76
    ãĥ¼ãĥĨãĤ£
    0.75
    Activations Density 0.006%

    No Known Activations