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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. 0-RES-JB
    11. 16844
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    Explanations

    personal details about individuals

    oai_token-act-pair · gpt-3.5-turbo

    the pronoun "who" as it appears in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Pg
    -0.71
    ENDED
    -0.63
     VIDEOS
    -0.63
    ILLE
    -0.62
    estyles
    -0.58
    APD
    -0.58
    PLA
    -0.57
    Temperature
    -0.55
    Operation
    -0.55
     antioxid
    -0.53
    POSITIVE LOGITS
     who
    2.78
    who
    2.71
     whom
    2.44
     whose
    2.00
    whose
    1.90
    Who
    1.69
     Who
    1.68
     WHO
    1.39
    WHO
    1.36
    omever
    0.91
    Activations Density 0.164%

    No Known Activations