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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. 3-RES-JB
    11. 22624
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    Explanations

    references to visual material or recordings

    oai_token-act-pair · gpt-3.5-turbo

    references to video or visual recordings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inence
    -0.78
     Schwarz
    -0.76
    ppard
    -0.67
     dement
    -0.66
     godd
    -0.63
     depress
    -0.62
    prison
    -0.62
    ggles
    -0.62
     boycot
    -0.61
     bargain
    -0.60
    POSITIVE LOGITS
     footage
    1.18
     clips
    0.98
     clip
    0.93
     tape
    0.83
    ography
    0.82
     depicting
    0.81
    clip
    0.80
     Photographer
    0.80
     cameras
    0.80
     tapes
    0.80
    Activations Density 0.007%

    No Known Activations