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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. 1-RES-JB
    11. 3135
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    Explanations

    words related to causing or triggering a specific outcome or state

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with the concept of induction or causing an effect

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    achu
    -0.70
    apest
    -0.69
    asketball
    -0.69
    iffin
    -0.67
    lain
    -0.65
    =-=-=-=-=-=-=-=-
    -0.65
    roud
    -0.65
    phan
    -0.64
    andon
    -0.64
    mis
    -0.64
    POSITIVE LOGITS
     induced
    1.14
     induce
    1.00
     inducing
    0.94
     induction
    0.92
     induces
    0.87
    induced
    0.87
     analges
    0.85
    uced
    0.85
    uces
    0.84
    untarily
    0.84
    Activations Density 0.012%

    No Known Activations