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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 1213
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    INDEX
    Explanations

    years represented in numerical form

    oai_token-act-pair · gpt-3.5-turbo

    specific years related to movies or media production events

    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
    resso
    -0.67
    orney
    -0.66
    anqu
    -0.66
    enance
    -0.61
    manship
    -0.59
     ______
    -0.55
    ttle
    -0.54
    lined
    -0.54
    immer
    -0.54
    accompan
    -0.54
    POSITIVE LOGITS
    -)
    1.51
    )
    1.35
    +)
    1.30
    ),
    1.28
    )—
    1.25
    å¹
    1.23
    ):
    1.23
    )</
    1.19
    )'
    1.18
    )/
    1.17
    Activations Density 0.052%

    No Known Activations