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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. 16040
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    Explanations

    references to live-action formats, such as live-action sequences, productions, or adaptations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to live action productions and streaming events

    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
    Ö¼
    -0.85
    jit
    -0.71
    vous
    -0.68
    jee
    -0.66
    utsu
    -0.65
    bably
    -0.64
    isSpecialOrderable
    -0.63
     respondent
    -0.60
    =-=-
    -0.60
     jurisdiction
    -0.58
    POSITIVE LOGITS
    jriwal
    0.80
    bleacher
    0.72
     breathed
    0.69
    Unity
    0.68
     streamed
    0.66
    aston
    0.64
    within
    0.62
     breathing
    0.61
    naissance
    0.60
    packages
    0.59
    Activations Density 0.110%

    No Known Activations