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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. 6-RES-JB
    11. 15554
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    Explanations

    phrases related to user-experience design and user-generated content

    oai_token-act-pair · gpt-3.5-turbo

    terms related to user-generated content and user-friendliness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĪĴ
    -0.76
    Reloaded
    -0.75
     veins
    -0.74
    ounding
    -0.67
     silk
    -0.64
    rontal
    -0.64
    GMT
    -0.63
     knots
    -0.63
    ModLoader
    -0.62
     improbable
    -0.61
    POSITIVE LOGITS
    iscons
    0.73
     EQ
    0.71
    utters
    0.70
    groups
    0.67
    ername
    0.66
    defined
    0.66
    onomy
    0.65
     Jury
    0.65
    ifest
    0.64
     Surve
    0.63
    Activations Density 0.445%

    No Known Activations