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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. 10-RES-JB
    11. 21640
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    Explanations

    phrases related to specificity or precision, often indicating a higher level of detail or accuracy

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing clarification or precision

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    roid
    -0.69
    ORGE
    -0.63
    gression
    -0.61
    :#
    -0.60
    auga
    -0.59
    owa
    -0.59
    STEP
    -0.57
    paying
    -0.55
    uala
    -0.55
    VIEW
    -0.55
    POSITIVE LOGITS
     abbre
    0.84
     acronym
    0.83
    speak
    0.75
     Hindi
    0.74
     euphem
    0.73
     paraph
    0.72
     borrow
    0.72
     acron
    0.71
     shorthand
    0.71
     slang
    0.71
    Activations Density 0.184%

    No Known Activations