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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. 15491
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    INDEX
    Explanations

    mentions of specific entities or names, often coupled with interrogative or explanatory context

    oai_token-act-pair · gpt-3.5-turbo

    instances of strong emotional expressions or emphatic statements

    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
     estranged
    -0.78
     inactive
    -0.73
     displaced
    -0.72
     abused
    -0.71
     untreated
    -0.68
     extinct
    -0.66
     unexplained
    -0.66
     abandoned
    -0.66
     unlucky
    -0.66
     indis
    -0.65
    POSITIVE LOGITS
    Interview
    1.02
    Anyway
    0.98
    Howard
    0.94
    Question
    0.90
    So
    0.90
    But
    0.89
    Whereas
    0.88
    Look
    0.87
    That
    0.87
    Were
    0.87
    Activations Density 0.271%

    No Known Activations