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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. 2951
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    Explanations

    proper names containing "Cah"

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of specific names and instances related to a notable individual

    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
    uyomi
    -0.97
    lihood
    -0.81
    é¾įå¥ij士
    -0.77
    pmwiki
    -0.74
    FTWARE
    -0.72
    agascar
    -0.70
    nesday
    -0.67
     unification
    -0.66
     drawer
    -0.65
     Apex
    -0.65
    POSITIVE LOGITS
    ote
    1.02
    otes
    0.92
     Coy
    0.84
     Cah
    0.83
    stal
    0.80
    aste
    0.79
    okin
    0.78
    allo
    0.76
     Coyotes
    0.75
    ocity
    0.74
    Activations Density 0.020%

    No Known Activations