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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. 11-RES-JB
    11. 1038
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    Explanations

    words related to instructions or guides

    oai_token-act-pair · gpt-3.5-turbo

    forms of the verb "to be" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ital
    -0.79
    士
    -0.65
     Disapp
    -0.64
    ð
    -0.63
    Shape
    -0.61
    ook
    -0.60
     deterior
    -0.60
    enne
    -0.59
    xxxx
    -0.58
    inson
    -0.58
    POSITIVE LOGITS
     aimed
    1.36
     intended
    1.34
     meant
    1.31
     geared
    1.30
     designed
    1.28
     focused
    1.17
     aiming
    1.16
     tailored
    1.06
     dedicated
    1.05
     intending
    1.03
    Activations Density 0.347%

    No Known Activations