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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
    11. 12330
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    Explanations

    terms related to enthusiasm and excitement

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "fantastic" in various contexts

    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
    ERA
    -0.88
    ACA
    -0.86
    yer
    -0.78
     ______
    -0.73
    VEN
    -0.73
    PRES
    -0.71
     Zucker
    -0.69
    LER
    -0.67
    ||||
    -0.65
    REL
    -0.65
    POSITIVE LOGITS
    ity
    1.32
    astic
    1.18
    ulously
    0.97
    ities
    0.96
    tarian
    0.92
    ulous
    0.88
    astically
    0.86
    ité
    0.86
    astics
    0.84
    atin
    0.79
    Activations Density 0.010%

    No Known Activations