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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. 0-RES-JB
    11. 4744
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    Explanations

    dates and times written in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    reference to dates and times

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ;;;;;;;;;;;;
    -0.70
     trough
    -0.63
     emotion
    -0.63
     weeds
    -0.63
     arts
    -0.63
     dinosaurs
    -0.62
     cheers
    -0.62
     wiser
    -0.62
     stomp
    -0.61
     gestures
    -0.61
    POSITIVE LOGITS
    24
    3.17
    23
    2.33
    26
    2.21
    25
    2.19
    22
    2.18
    21
    2.12
    28
    2.11
    27
    2.09
    29
    2.07
    16
    1.98
    Activations Density 0.018%

    No Known Activations