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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. 17425
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    Explanations

    phrases related to strength and physical capabilities

    oai_token-act-pair · gpt-3.5-turbo

    words related to strength or intensity

    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
     misdem
    -0.66
    hillary
    -0.66
     Wonders
    -0.64
     overdose
    -0.64
     Berm
    -0.59
    cffffcc
    -0.59
     condol
    -0.59
     blasp
    -0.58
     Piper
    -0.57
    icho
    -0.56
    POSITIVE LOGITS
    ordes
    0.77
    interstitial
    0.73
    agin
    0.68
    tyard
    0.66
    ÙĴ
    0.66
    ghai
    0.65
    hare
    0.65
    Initialized
    0.64
    cil
    0.63
    ç
    0.63
    Activations Density 0.259%

    No Known Activations