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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. 23313
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    Explanations

    high-frequency words that don't contribute much to the overall meaning of the text

    oai_token-act-pair · gpt-3.5-turbo

    phrases or terms related to virtual or augmented reality

    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
     lest
    -0.69
    inki
    -0.67
     cour
    -0.64
    bender
    -0.57
     shove
    -0.56
     wound
    -0.56
     crow
    -0.56
    ghan
    -0.56
     tempered
    -0.56
     truce
    -0.56
    POSITIVE LOGITS
    bilt
    1.04
    enz
    0.79
    achev
    0.74
    Leaks
    0.72
    inous
    0.69
    AIDS
    0.68
    anon
    0.68
    align
    0.66
    amo
    0.66
    arious
    0.65
    Activations Density 0.286%

    No Known Activations