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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. 9-RES-JB
    11. 19826
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to conditions and considerations in construction and development

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Plot
    -0.77
    LEASE
    -0.73
    Statement
    -0.71
    0000000000000000
    -0.69
    AAAAAAAA
    -0.69
    esides
    -0.67
    ultane
    -0.66
     sqor
    -0.66
    00000
    -0.66
    cule
    -0.66
    POSITIVE LOGITS
     many
    0.99
     sometimes
    0.98
     some
    0.97
    sometimes
    0.89
     often
    0.88
     most
    0.88
    usually
    0.87
     abusers
    0.87
     rare
    0.86
    typically
    0.85
    Activations Density 0.957%

    No Known Activations