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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. 11-RES-JB
    11. 17548
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    Explanations

    adjectives related to temperature, particularly emphasizing high heat

    oai_token-act-pair · gpt-3.5-turbo

    frequent mentions of the word "hot" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     guiActiveUn
    -0.74
     Expedition
    -0.68
    uther
    -0.68
    ngth
    -0.68
    Downloadha
    -0.66
    vernment
    -0.65
    edIn
    -0.65
     numbering
    -0.65
     Incarnation
    -0.64
     Madness
    -0.63
    POSITIVE LOGITS
    dogs
    1.19
    dog
    1.12
    shots
    1.03
    bed
    1.01
    fixes
    1.00
    blooded
    0.98
    shot
    0.97
    cakes
    0.97
    fix
    0.94
    rod
    0.91
    Activations Density 0.034%

    No Known Activations