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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. 0-RES-JB
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    Explanations

    words related to physical actions such as "running" or "reading."

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "ting" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĨĴ
    -0.72
    ŃĶ
    -0.66
    alez
    -0.65
    è»
    -0.64
     courier
    -0.64
     Crisis
    -0.55
     payable
    -0.54
     Murray
    -0.53
    CRIPTION
    -0.53
     Plains
    -0.52
    POSITIVE LOGITS
    ting
    4.64
    ted
    3.13
    TING
    2.22
    ts
    2.13
    ters
    2.05
    ter
    1.81
    tering
    1.65
    tery
    1.63
    ning
    1.61
    ty
    1.48
    Activations Density 0.012%

    No Known Activations