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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. 2-RES-JB
    11. 6800
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    Explanations

    phrases related to television channels

    oai_token-act-pair · gpt-3.5-turbo

    mentions of television channels

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Causes
    -0.71
    yles
    -0.68
    vironment
    -0.68
     Rounds
    -0.66
     stances
    -0.64
     Clause
    -0.63
     Coyotes
    -0.61
    ju
    -0.61
    vind
    -0.61
     Paraly
    -0.61
    POSITIVE LOGITS
     broadcaster
    0.89
    DAQ
    0.83
    Channel
    0.80
     WATCHED
    0.79
     Seym
    0.76
    itone
    0.76
     airs
    0.74
    izen
    0.73
     broadcasters
    0.70
     Broadcasting
    0.70
    Activations Density 0.020%

    No Known Activations