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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. 1383
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    Explanations

    phrases related to travel destinations and connections with others

    oai_token-act-pair · gpt-3.5-turbo

    references to travel-related services and experiences

    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
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    No Comments

    Negative Logits
    uca
    -0.72
    asel
    -0.70
    band
    -0.69
    È
    -0.65
    abouts
    -0.63
    ivas
    -0.63
    abl
    -0.60
    cell
    -0.60
     Shank
    -0.60
    ss
    -0.59
    POSITIVE LOGITS
    dayName
    0.79
    orld
    0.76
     Flavoring
    0.71
    Ire
    0.70
    thinkable
    0.69
    ertodd
    0.69
     guiActiveUnfocused
    0.69
    inness
    0.68
    rahim
    0.68
     [|
    0.66
    Activations Density 0.033%

    No Known Activations