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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
    11. 2875
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    INDEX
    Explanations

    phrases related to challenges or difficult situations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of challenges faced in various contexts

    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
    onement
    -0.68
    info
    -0.64
    rip
    -0.63
    ded
    -0.63
    graph
    -0.58
     donation
    -0.57
    actic
    -0.56
    ope
    -0.56
    edited
    -0.56
    otide
    -0.55
    POSITIVE LOGITS
    afety
    1.15
    ettings
    1.05
    hooting
    1.04
    cale
    0.99
    cape
    0.96
    pring
    0.94
    uggest
    0.93
    etter
    0.92
    mith
    0.89
    ynski
    0.88
    Activations Density 0.111%

    No Known Activations