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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. 8-RES-JB
    11. 1807
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to systems, structures, and their functionalities or characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ipel
    -0.74
    issance
    -0.61
    rir
    -0.61
    iversary
    -0.61
    culosis
    -0.61
    jet
    -0.60
     sunny
    -0.58
    psc
    -0.58
    aline
    -0.58
    Progress
    -0.58
    POSITIVE LOGITS
     underpin
    1.07
     underlying
    0.92
     vary
    0.90
     employed
    0.88
     inherent
    0.85
     prevail
    0.83
     pertaining
    0.81
     governing
    0.81
     surrounding
    0.81
     utilized
    0.81
    Activations Density 0.415%

    No Known Activations