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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. 1-RES-JB
    11. 7331
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    INDEX
    Explanations

    verbs related to taking on challenges or difficult tasks

    oai_token-act-pair · gpt-3.5-turbo

    phrases focused on addressing challenges or problems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    urt
    -0.62
    amic
    -0.62
    trial
    -0.61
    soType
    -0.60
    Leader
    -0.60
    appointed
    -0.60
    edom
    -0.60
    akin
    -0.60
    sample
    -0.59
    translation
    -0.59
    POSITIVE LOGITS
     tackle
    1.19
    tackle
    1.05
     tackles
    1.03
     Tackle
    1.01
    INGTON
    0.80
     tackling
    0.76
     tackled
    0.76
    ttes
    0.75
     Âł Âł Âł Âł
    0.73
    rupal
    0.72
    Activations Density 0.007%

    No Known Activations