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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. 3-RES-JB
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    Explanations

    mentions of inductions

    oai_token-act-pair · gpt-3.5-turbo

    the word "induct" and its related forms indicating ceremonies or formal entries into a group

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     PLAN
    -0.71
     Alic
    -0.68
     Stability
    -0.67
     Dim
    -0.66
     Weed
    -0.64
     REAL
    -0.64
     Plan
    -0.63
     Leopard
    -0.63
     Grimm
    -0.63
    mington
    -0.63
    POSITIVE LOGITS
     induct
    1.52
     induction
    1.15
    untarily
    1.08
    uably
    0.89
    naires
    0.88
    uct
    0.82
    isSpecialOrderable
    0.81
    netflix
    0.81
    idable
    0.81
    ocl
    0.81
    Activations Density 0.014%

    No Known Activations