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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. 9-RES-JB
    11. 17941
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    Explanations

    first-person pronouns and verbs relating to personal experiences and reflections

    oai_token-act-pair · gpt-3.5-turbo

    instances of the pronoun "I" indicating self-reference or personal reflection

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ses
    -0.76
     Gad
    -0.65
     Millennium
    -0.63
     Plaint
    -0.59
    ãĥ¬
    -0.58
     optics
    -0.57
    tnc
    -0.57
     Emin
    -0.56
    Marginal
    -0.56
     Annotations
    -0.56
    POSITIVE LOGITS
    'm
    1.59
    've
    1.40
    'd
    1.18
     am
    1.15
    'll
    1.14
     suppose
    1.12
     owe
    1.09
    ronic
    1.08
     adore
    1.07
     guess
    1.04
    Activations Density 0.305%

    No Known Activations