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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. 8-RES-JB
    11. 24452
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    Explanations

    phrases related to making a conscious and dedicated effort

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to significant efforts and attempts to achieve goals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    obyl
    -0.71
    aru
    -0.69
    INGS
    -0.69
    iency
    -0.64
    arus
    -0.64
    ategory
    -0.62
    apter
    -0.60
    uple
    -0.60
    iry
    -0.59
    prus
    -0.59
    POSITIVE LOGITS
     toward
    0.85
     endeav
    0.84
     towards
    0.83
     promoting
    0.81
     lobbying
    0.79
     educating
    0.79
     diligently
    0.78
     valiant
    0.76
     documenting
    0.75
     tirelessly
    0.75
    Activations Density 0.217%

    No Known Activations