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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. 1-RES-JB
    11. 802
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    INDEX
    Explanations

    words related to exaggeration or exaggerated actions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to exaggeration and inflated claims

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    spot
    -0.76
    cert
    -0.68
    NetMessage
    -0.65
    */(
    -0.64
    Ķ
    -0.63
    ¯¯¯¯¯¯¯¯
    -0.62
     Pinterest
    -0.61
    achable
    -0.60
    nant
    -0.60
    Ct
    -0.59
    POSITIVE LOGITS
     exagger
    1.45
     exaggeration
    1.22
     exaggerated
    1.12
     overest
    0.86
    200000
    0.84
     distortions
    0.83
     modesty
    0.81
     distort
    0.79
     fals
    0.77
     misunder
    0.76
    Activations Density 0.016%

    No Known Activations