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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
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    Explanations

    references to the character "Doctor" in the context of a specific TV show

    oai_token-act-pair · gpt-3.5-turbo

    references to the character "Doctor" from the Doctor Who series

    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
     actionGroup
    -0.76
     dispersed
    -0.72
    perm
    -0.68
     envelope
    -0.65
    zanne
    -0.63
     total
    -0.63
    rig
    -0.63
    FUL
    -0.62
     allotted
    -0.61
    toggle
    -0.61
    POSITIVE LOGITS
     Doctor
    1.01
    iatus
    0.95
     Who
    0.87
    Doctor
    0.84
    ysis
    0.83
     Strange
    0.81
    sonian
    0.80
    iatric
    0.74
    ode
    0.73
    abase
    0.73
    Activations Density 0.008%

    No Known Activations