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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. 7-RES-JB
    11. 1628
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    Explanations

    phrases related to formal classifications or appointments

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "designated" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Rh
    -0.72
    ieri
    -0.69
    ebook
    -0.68
    ilant
    -0.66
    stead
    -0.65
    Bey
    -0.64
    OOL
    -0.64
    onse
    -0.64
    natureconservancy
    -0.63
    kj
    -0.63
    POSITIVE LOGITS
     designated
    0.81
     markings
    0.80
     zones
    0.75
     assigns
    0.68
     designation
    0.68
     designate
    0.67
     airspace
    0.66
     landmarks
    0.66
    İĭ
    0.66
     assignments
    0.66
    Activations Density 0.036%

    No Known Activations