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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. 7-RES-JB
    11. 23110
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    Explanations

    phrases related to the importance or significance of roles played by entities in various scenarios

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the significance or impact of various factors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atri
    -0.69
    arus
    -0.68
    Lev
    -0.67
    agle
    -0.65
     wings
    -0.61
    bryce
    -0.61
     roomm
    -0.61
    ft
    -0.59
    ©¶æ
    -0.59
    Tok
    -0.59
    POSITIVE LOGITS
     determining
    0.80
     helping
    0.78
    lycer
    0.74
     role
    0.71
     facilitating
    0.70
     assisting
    0.67
     shaping
    0.66
     toward
    0.66
     educating
    0.65
     whatsoever
    0.65
    Activations Density 0.051%

    No Known Activations