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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. 9-RES-JB
    11. 2434
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    Explanations

    the phrase "have something to do with"

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a causal relationship or connection

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atures
    -0.62
    shr
    -0.58
    olson
    -0.57
     rushes
    -0.55
     leaflets
    -0.54
     Broad
    -0.53
     Niagara
    -0.53
     peas
    -0.53
     Unle
    -0.52
    byter
    -0.52
    POSITIVE LOGITS
    onies
    0.69
    neck
    0.68
    ymes
    0.66
    ender
    0.64
    aho
    0.63
    actionDate
    0.62
     with
    0.61
     WITH
    0.61
    INK
    0.60
     whatsoever
    0.59
    Activations Density 0.046%

    No Known Activations