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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. 12662
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    INDEX
    Explanations

    interrogative sentences asking about a specific topic or situation

    oai_token-act-pair · gpt-3.5-turbo

    questions related to inquiry and contemplation

    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
    rawdownloadcloneembedreportprint
    -0.72
    ords
    -0.63
    alach
    -0.63
    ILLE
    -0.62
    lag
    -0.60
     broch
    -0.59
    apsed
    -0.58
     festivities
    -0.58
    reau
    -0.57
     celebrations
    -0.56
    POSITIVE LOGITS
    why
    1.26
     WHY
    1.25
     why
    1.14
     whether
    1.11
    whether
    1.10
    how
    1.09
     Why
    1.07
    Why
    1.01
     WHERE
    0.99
    what
    0.98
    Activations Density 0.181%

    No Known Activations