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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. 4-RES-JB
    11. 14553
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    Explanations

    mentions of 'jellyfish' in texts

    oai_token-act-pair · gpt-3.5-turbo

    references to jellyfish

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

    No Comments

    Negative Logits
    xual
    -0.88
    ndum
    -0.76
    ively
    -0.69
    76561
    -0.67
     Differences
    -0.67
    oÄŁ
    -0.66
    querque
    -0.66
     Newsp
    -0.66
    UCT
    -0.66
    ————————————————
    -0.63
    POSITIVE LOGITS
    bean
    1.52
    beans
    1.43
    fish
    1.41
     beans
    1.05
     bean
    1.00
     Beans
    0.94
     Bean
    0.93
     jelly
    0.84
     Jelly
    0.81
    melon
    0.81
    Activations Density 0.010%

    No Known Activations