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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. 13091
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    Explanations

    words related to challenges or hindrances

    oai_token-act-pair · gpt-3.5-turbo

    terms related to challenges or impediments

    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
    orp
    -0.83
    akening
    -0.75
    entric
    -0.72
    aken
    -0.72
    elt
    -0.71
    ulet
    -0.71
    orks
    -0.70
    mberg
    -0.69
    overe
    -0.69
    athering
    -0.68
    POSITIVE LOGITS
     obstacle
    1.19
     obstacles
    1.06
     hurdles
    1.00
     imped
    0.96
     barriers
    0.94
     hurdle
    0.89
     barrier
    0.80
     impede
    0.79
     hinder
    0.79
     plag
    0.74
    Activations Density 0.022%

    No Known Activations