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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. 12864
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    Explanations

    references to locations or centers that are significant or central in some way

    oai_token-act-pair · gpt-3.5-turbo

    instances of "hub" indicating focal points for various activities or groups

    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
    ittee
    -0.79
    IGHTS
    -0.79
    DonaldTrump
    -0.71
    essee
    -0.71
    issance
    -0.70
    ippery
    -0.69
    emonium
    -0.69
    efe
    -0.67
    avery
    -0.66
    phies
    -0.66
    POSITIVE LOGITS
    bub
    1.34
     hub
    1.24
    bard
    1.15
     hubs
    1.15
    hub
    1.08
     Hub
    1.07
    Hub
    0.96
    lins
    0.93
    caps
    0.89
    ris
    0.89
    Activations Density 0.008%

    No Known Activations