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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. 843
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    Explanations

    events where a specific production or film first appears or is showcased to the public

    oai_token-act-pair · gpt-3.5-turbo

    instances of the words "debuted" and "premiered," often in the context of events or releases

    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
    usal
    -0.70
    othe
    -0.69
    opic
    -0.67
    ija
    -0.67
    die
    -0.64
    ilo
    -0.64
    outer
    -0.64
    ilit
    -0.64
    illion
    -0.63
    agh
    -0.63
    POSITIVE LOGITS
    nesday
    1.10
    éĹĺ
    0.90
    eatures
    0.86
    æ©
    0.82
     premiered
    0.77
    ONSORED
    0.75
    yrs
    0.72
    Ô
    0.71
    atform
    0.71
     debuted
    0.71
    Activations Density 0.040%

    No Known Activations