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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. 4-RES-JB
    6. 3900
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    Explanations

    proper nouns, specifically those related to organizations or places

    oai_token-act-pair · gpt-3.5-turbo

    the abbreviation "MI" frequently associated with various contexts or entities

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

    No Comments

    Negative Logits
    size
    -0.76
    ding
    -0.75
    language
    -0.73
    ional
    -0.73
    sworth
    -0.73
    served
    -0.70
    holder
    -0.70
    sword
    -0.70
    mans
    -0.70
    holders
    -0.69
    POSITIVE LOGITS
    AMI
    1.11
    HAEL
    1.01
    PS
    0.98
    uppet
    0.95
    ovember
    0.85
    KE
    0.81
    MI
    0.79
    XT
    0.79
    OSH
    0.78
    eredith
    0.76
    Activations Density 0.007%

    No Known Activations