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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. 2222
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    Explanations

    references to specific entities or locations

    oai_token-act-pair · gpt-3.5-turbo

    references to the city of Roma and its associated entities

    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
    alach
    -0.85
    notation
    -0.83
    orses
    -0.81
    ools
    -0.76
    piration
    -0.76
    eger
    -0.76
    raints
    -0.75
    semb
    -0.75
    ointed
    -0.75
    insula
    -0.75
    POSITIVE LOGITS
     Roma
    1.27
     Nadu
    0.85
     Mata
    0.82
    atown
    0.80
     Beasts
    0.78
     Galile
    0.76
    Gy
    0.76
     Uz
    0.73
     Luxem
    0.73
     Dai
    0.73
    Activations Density 0.007%

    No Known Activations