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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. 7-RES-JB
    11. 2311
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    Explanations

    phrases related to technical specifications or details

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases that signify various types of calls or commands, particularly in a formal context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     atmosp
    -0.71
     iTunes
    -0.70
     ammon
    -0.66
     bec
    -0.66
     Cannot
    -0.66
     SOFTWARE
    -0.64
     artif
    -0.63
     WhatsApp
    -0.63
     Invention
    -0.62
     SEE
    -0.62
    POSITIVE LOGITS
    rag
    1.19
    r
    1.13
    ron
    1.10
    rib
    1.08
    ra
    1.06
    RP
    1.06
    rab
    1.05
    rir
    1.04
    ray
    1.03
    rik
    1.02
    Activations Density 0.289%

    No Known Activations