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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. 5-RES-JB
    6. 23440
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    INDEX
    Explanations

    verbs related to expectation or anticipation

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to expectations and planning

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Breaking
    -0.65
    SU
    -0.65
    Today
    -0.64
    FIG
    -0.64
    rench
    -0.63
    rib
    -0.63
    orus
    -0.63
    rain
    -0.63
    Streamer
    -0.63
    eye
    -0.63
    POSITIVE LOGITS
     beforehand
    0.90
     originally
    0.89
     initially
    0.84
     earlier
    0.78
     exha
    0.77
     conceived
    0.74
     previously
    0.74
     hoped
    0.71
     anticipating
    0.67
     princ
    0.65
    Activations Density 0.325%

    No Known Activations