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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. 6-RES-JB
    11. 15362
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    INDEX
    Explanations

    information related to specific diets and substances, such as low-carb diets and caffeine

    oai_token-act-pair · gpt-3.5-turbo

    nutritional topics related to diets and their effects on health

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    phies
    -0.77
     scrut
    -0.74
    stros
    -0.72
    lehem
    -0.67
    NetMessage
    -0.66
    azon
    -0.65
    english
    -0.65
    Eva
    -0.64
     Urug
    -0.64
    acci
    -0.63
    POSITIVE LOGITS
     interventions
    1.07
     exposures
    0.89
     stimuli
    0.86
     exposure
    0.84
     intervention
    0.82
     âī¥
    0.81
    âĢIJ
    0.80
     induces
    0.80
     therapy
    0.79
     lect
    0.77
    Activations Density 0.651%

    No Known Activations