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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. 6-RES-JB
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    Explanations

    mentions of the location "Orlando" along with names or entities related to it

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the city of Orlando

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bler
    -0.94
    adr
    -0.76
    pring
    -0.75
    sed
    -0.74
    dit
    -0.71
    BOOK
    -0.70
    ship
    -0.69
    REE
    -0.68
    haar
    -0.68
    road
    -0.67
    POSITIVE LOGITS
     Sentinel
    0.91
     Harbor
    0.84
     Bloom
    0.83
    IRC
    0.78
    iens
    0.78
     Orlando
    0.78
    Sent
    0.78
    ista
    0.77
     nightclub
    0.76
     City
    0.75
    Activations Density 0.019%

    No Known Activations