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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. 4719
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    Explanations

    proper nouns or names of people

    oai_token-act-pair · gpt-3.5-turbo

    the presence of names, particularly those of individuals associated with various contexts in the text

    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
     tears
    -0.76
     Strauss
    -0.74
     Rampage
    -0.68
     Kessler
    -0.67
     libertarians
    -0.64
     Bast
    -0.63
     Warwick
    -0.63
    Wilson
    -0.63
    ity
    -0.62
     Jericho
    -0.61
    POSITIVE LOGITS
    alach
    0.99
    chell
    0.97
    atum
    0.95
    raham
    0.89
    chen
    0.88
    onia
    0.88
    eared
    0.81
    urat
    0.79
     Beg
    0.78
    zeb
    0.78
    Activations Density 0.027%

    No Known Activations