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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. 3034
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    INDEX
    Explanations

    commands and instructions in text data

    oai_token-act-pair · gpt-3.5-turbo

    instructions related to selecting and interacting with user interface elements

    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
    Bloomberg
    -0.73
    heres
    -0.71
    ards
    -0.70
    itia
    -0.69
    ÄŁ
    -0.69
    /
    -0.69
    ben
    -0.69
    humans
    -0.68
    AFP
    -0.67
    ornings
    -0.66
    POSITIVE LOGITS
     appropriate
    1.22
     corresponding
    1.19
     desired
    1.19
     following
    1.18
     latter
    1.08
     remainder
    1.07
     same
    1.01
     aforementioned
    1.01
     entire
    1.00
     lowest
    1.00
    Activations Density 0.240%

    No Known Activations