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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. 1021
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    Explanations

    phrases related to sporting events and competitions, particularly involving young athletes

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to underage groups or categories

    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
    oyd
    -0.67
    izu
    -0.62
    ubi
    -0.61
    arcity
    -0.60
    stadt
    -0.59
    behind
    -0.59
     Behind
    -0.59
    pell
    -0.58
     Venice
    -0.58
    gow
    -0.57
    POSITIVE LOGITS
    ãģĨ
    0.82
     ausp
    0.73
    riage
    0.71
    Enlarge
    0.71
    hook
    0.70
    ATCH
    0.68
    VERTISEMENT
    0.67
     radar
    0.65
     microscope
    0.64
    ħĭ
    0.64
    Activations Density 0.083%

    No Known Activations