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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. 3-RES-JB
    11. 3301
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    INDEX
    Explanations

    comparative adjectives related to difficulty

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating difficulty or challenges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EVA
    -0.76
    inate
    -0.72
    reen
    -0.71
    ivo
    -0.68
     Loft
    -0.65
    Liber
    -0.65
     Gazette
    -0.65
    rolley
    -0.64
    iot
    -0.63
    Kings
    -0.63
    POSITIVE LOGITS
     than
    1.16
     Than
    0.88
     behaved
    0.87
     harder
    0.84
     toget
    0.76
     forgiving
    0.74
     "$:/
    0.72
     compr
    0.71
     resil
    0.71
    nces
    0.69
    Activations Density 0.009%

    No Known Activations