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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 21015
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    Explanations

    words relating to operations or operational tasks

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the root word "oper," likely relating to operations or functioning processes

    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
    fix
    -0.73
    eree
    -0.71
    Ĥª
    -0.68
     vengeance
    -0.68
    definition
    -0.64
     haste
    -0.63
     Primordial
    -0.61
     blame
    -0.60
    ered
    -0.60
    xual
    -0.59
    POSITIVE LOGITS
    aquin
    0.94
    atives
    0.90
    oper
    0.86
    ating
    0.86
    atively
    0.86
    ates
    0.82
    ately
    0.81
    ament
    0.80
    aqu
    0.79
    ational
    0.79
    Activations Density 0.008%

    No Known Activations