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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. 11131
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    INDEX
    Explanations

    mentions of specific numerical ratings

    oai_token-act-pair · gpt-3.5-turbo

    instances of emotional or subjective expressions

    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
    sequently
    -0.53
     subsequent
    -0.52
    kefeller
    -0.48
    thus
    -0.46
    tein
    -0.45
    itant
    -0.44
     subsequently
    -0.44
    Ware
    -0.43
     accelerated
    -0.42
     thereby
    -0.42
    POSITIVE LOGITS
    âĢ
    0.71
    ãĢ
    0.69
     âľ
    0.67
     âĢ
    0.61
    âĺ
    0.58
    âľ
    0.56
     ðŁij
    0.56
    âĿ
    0.55
     âĶ
    0.55
    ---------
    0.54
    Activations Density 1.562%

    No Known Activations