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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. 2-RES-JB
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    Explanations

    adjectives related to great enthusiasm or excitement

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "fantastic"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ACA
    -0.81
    ERA
    -0.80
    UTERS
    -0.78
    VEN
    -0.72
    SPONSORED
    -0.71
    IRD
    -0.69
    ACTED
    -0.68
    PRES
    -0.68
    present
    -0.67
    required
    -0.66
    POSITIVE LOGITS
    astic
    1.28
    ity
    1.13
    astically
    1.02
    ulously
    0.95
    astics
    0.94
    ulous
    0.91
    atin
    0.91
    ities
    0.85
    rics
    0.84
    iated
    0.82
    Activations Density 0.010%

    No Known Activations