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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 22255
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    INDEX
    Explanations

    instances where something or someone is missing or not present

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of being absent or missing

    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
    Ocean
    -0.78
    ombs
    -0.77
    BI
    -0.76
    oller
    -0.75
    RAW
    -0.74
     Secrets
    -0.72
    RAFT
    -0.67
    RT
    -0.67
    ushes
    -0.67
    MO
    -0.66
    POSITIVE LOGITS
     absent
    0.84
    minded
    0.83
     minded
    0.80
     Absent
    0.79
    enance
    0.78
    lehem
    0.76
     offic
    0.75
    soever
    0.75
    noon
    0.74
    etheless
    0.73
    Activations Density 0.006%

    No Known Activations