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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. 2674
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    INDEX
    Explanations

    mentions of umbrellas

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the substring "rell" within words

    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
    ablishment
    -0.67
    ãĥ£
    -0.65
     traveller
    -0.64
    company
    -0.60
     day
    -0.60
    raged
    -0.59
    aepernick
    -0.59
     morbid
    -0.59
     craving
    -0.59
    charge
    -0.58
    POSITIVE LOGITS
    owship
    1.27
    sburgh
    0.93
    inson
    0.91
    yth
    0.88
    edy
    0.85
    adoes
    0.84
    angles
    0.82
    ateral
    0.80
    ibrary
    0.79
    ipt
    0.79
    Activations Density 0.014%

    No Known Activations