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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. 10138
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    Explanations

    the phrase "That's right!" accompanied by additional content

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing agreement or affirmation

    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
    aples
    -0.64
    è¦ļéĨĴ
    -0.61
    minist
    -0.60
    WAYS
    -0.58
    gets
    -0.58
    models
    -0.57
    mediated
    -0.56
    jury
    -0.56
    STDOUT
    -0.56
    ikini
    -0.55
    POSITIVE LOGITS
    eous
    1.20
     smack
    0.89
     fielder
    0.79
     wing
    0.76
    ?!
    0.71
     Dragonbound
    0.69
    !
    0.68
     beside
    0.68
     winger
    0.67
    !?
    0.64
    Activations Density 0.026%

    No Known Activations