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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. 11-RES-JB
    11. 12123
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    Explanations

    terms related to demonstrating, illustrating, showing or underscoring a point

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize the act of demonstrating or illustrating significant points or consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    76561
    -0.71
    quer
    -0.67
    efer
    -0.65
    accompanied
    -0.64
    enium
    -0.63
    assic
    -0.63
     livest
    -0.63
     Referred
    -0.62
    estones
    -0.61
     TBA
    -0.61
    POSITIVE LOGITS
     how
    1.30
     why
    1.23
    why
    0.99
    how
    0.99
     what
    0.88
     hypocrisy
    0.84
     WHY
    0.84
     something
    0.81
     just
    0.81
     whats
    0.79
    Activations Density 0.161%

    No Known Activations