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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. 3-RES-JB
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    INDEX
    Explanations

    mentions of sessions, typically related to events or activities

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "session."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hovah
    -0.72
    kowski
    -0.66
     porous
    -0.65
     traff
    -0.64
     generous
    -0.64
     unborn
    -0.61
    actor
    -0.59
     inex
    -0.59
    ystem
    -0.59
     prophetic
    -0.58
    POSITIVE LOGITS
     session
    1.20
     sessions
    1.06
     Session
    0.99
    ansion
    0.91
    ional
    0.86
    è¦ļéĨĴ
    0.85
    eers
    0.79
    ESSION
    0.79
     Sessions
    0.78
    atur
    0.76
    Activations Density 0.011%

    No Known Activations