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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
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    Explanations

    references to television shows being broadcast or aired

    oai_token-act-pair · gpt-3.5-turbo

    references to television shows and their airings

    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
    ledge
    -0.80
    llan
    -0.75
    ansson
    -0.71
    ernand
    -0.70
    atche
    -0.69
    ever
    -0.68
    illard
    -0.68
    opher
    -0.65
    leans
    -0.65
     Fraz
    -0.64
    POSITIVE LOGITS
     airing
    1.03
     aired
    0.96
    waves
    0.91
    ONY
    0.90
    DAQ
    0.84
    ãĥ£
    0.84
    ãĥĺ
    0.82
    IUM
    0.78
    ONSORED
    0.76
    ÃįÃį
    0.76
    Activations Density 0.013%

    No Known Activations