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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 3239
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    Explanations

    references to specific job titles or roles

    oai_token-act-pair · gpt-3.5-turbo

    empty or placeholder tokens

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    selves
    -0.67
    fw
    -0.60
    ĸļ
    -0.60
    ankind
    -0.59
    antics
    -0.59
    burning
    -0.59
    escal
    -0.58
    ickle
    -0.56
    ciating
    -0.55
    apo
    -0.55
    POSITIVE LOGITS
     extraord
    0.72
     Jeremy
    0.63
     defends
    0.63
    Joined
    0.63
     councillor
    0.61
     Shaun
    0.61
     warns
    0.61
    sych
    0.61
     Erik
    0.60
     defended
    0.58
    Activations Density 0.315%

    No Known Activations