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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. 4-RES-JB
    11. 20632
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    Explanations

    words related to enthusiasm and excitement

    oai_token-act-pair · gpt-3.5-turbo

    words related to enthusiasm or excitement

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

    No Comments

    Negative Logits
    ERA
    -0.86
    ACA
    -0.83
    yer
    -0.71
    VEN
    -0.69
    PRES
    -0.66
    irez
    -0.65
    bare
    -0.64
    UTERS
    -0.63
     SHAR
    -0.62
     Zucker
    -0.62
    POSITIVE LOGITS
    ity
    1.26
    astic
    1.08
    ulously
    0.94
    ité
    0.91
    tarian
    0.88
    ities
    0.86
    iated
    0.83
    tarians
    0.82
    ulous
    0.82
    atin
    0.81
    Activations Density 0.014%

    No Known Activations