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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. 9-RES-JB
    11. 23834
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    Explanations

    words related to sanctuaries, rituals, and food ingredients

    oai_token-act-pair · gpt-3.5-turbo

    words indicating specific states, conditions, or characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bilt
    -0.85
     Swed
    -0.71
    fork
    -0.71
     Dig
    -0.68
    ngth
    -0.65
    ãĥ£
    -0.65
    staking
    -0.65
    maxwell
    -0.63
    #$
    -0.62
     Peters
    -0.61
    POSITIVE LOGITS
    oso
    0.92
    omon
    0.91
    osa
    0.83
    asca
    0.83
    aces
    0.82
    os
    0.81
    ensis
    0.80
    ities
    0.80
    OUS
    0.79
    acs
    0.79
    Activations Density 0.150%

    No Known Activations