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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
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    Explanations

    references to the city of Orlando

    oai_token-act-pair · gpt-3.5-turbo

    references to the location Orlando

    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
    bler
    -0.80
    REE
    -0.74
    adr
    -0.73
    regulation
    -0.72
    road
    -0.71
    VALUE
    -0.68
    VERTISEMENT
    -0.68
    payment
    -0.67
    SAM
    -0.66
    DIR
    -0.65
    POSITIVE LOGITS
     Orlando
    1.09
    lando
    0.84
    ista
    0.82
    iens
    0.82
    istas
    0.79
     Pist
    0.78
     Sentinel
    0.78
     Reyes
    0.76
    illo
    0.73
     nightclub
    0.73
    Activations Density 0.005%

    No Known Activations