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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. 4-RES-JB
    11. 9832
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    Explanations

    instances related to numbers, figures, or statistics within the text

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the preposition "in."

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

    No Comments

    Negative Logits
    USB
    -0.61
    CLASSIFIED
    -0.59
    HAEL
    -0.57
    PASS
    -0.57
    NOW
    -0.57
    PIN
    -0.56
    Voice
    -0.55
     %%
    -0.55
     reluct
    -0.54
    GROUND
    -0.54
    POSITIVE LOGITS
     accordance
    1.23
    ordinate
    1.22
     lieu
    1.20
    clusions
    1.12
     conjunction
    1.12
     vitro
    1.11
    animate
    1.10
    effic
    1.10
    patient
    1.09
    efficiency
    1.06
    Activations Density 0.849%

    No Known Activations