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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. 2-RES-JB
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    Explanations

    the word "tendency" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    repeated references to the concept of "tendency."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mberg
    -0.82
    riel
    -0.80
    hemat
    -0.74
    gur
    -0.73
    han
    -0.72
    sung
    -0.71
    aban
    -0.71
    estamp
    -0.71
    enic
    -0.69
    ns
    -0.67
    POSITIVE LOGITS
     tendency
    1.07
     tendencies
    0.99
     inconsistency
    0.86
     propensity
    0.83
     towards
    0.81
     toward
    0.80
     inference
    0.77
     aversion
    0.77
     predis
    0.76
     shift
    0.75
    Activations Density 0.011%

    No Known Activations