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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. 0-RES-JB
    11. 13385
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    Explanations

    phrases related to accommodation and hospitality

    oai_token-act-pair · gpt-3.5-turbo

    terms related to accommodation or lodging

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zone
    -0.79
    gravity
    -0.70
    cake
    -0.68
    frame
    -0.67
    Depth
    -0.66
    ctor
    -0.65
    tics
    -0.65
    ructure
    -0.64
    close
    -0.63
     =>
    -0.62
    POSITIVE LOGITS
     hiking
    0.76
    eele
    0.70
     vegetarian
    0.68
     confir
    0.66
     handwritten
    0.65
    iven
    0.64
     Leban
    0.64
     Garc
    0.64
    oute
    0.63
     clen
    0.63
    Activations Density 0.000%

    No Known Activations