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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. 2-RES-JB
    11. 12869
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    Explanations

    situations requiring problem-solving or solutions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "solve" and its variations in the context of addressing problems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ammy
    -0.80
    ardy
    -0.68
    umption
    -0.67
    akin
    -0.66
     lav
    -0.64
     consolidation
    -0.64
     showers
    -0.64
    akening
    -0.61
    Lago
    -0.60
     helicop
    -0.60
    POSITIVE LOGITS
     solve
    1.16
     solving
    1.04
    ĵĺ
    1.01
    ĸļ
    0.99
     solved
    0.92
     solves
    0.90
     Puzzles
    0.87
    vable
    0.86
    æ©
    0.82
     puzzles
    0.82
    Activations Density 0.013%

    No Known Activations