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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. 9-RES-JB
    11. 5315
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    special characters or punctuation marks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     understandable
    -0.70
     instr
    -0.67
     uncertain
    -0.66
     Passed
    -0.62
     courtesy
    -0.60
     Javascript
    -0.60
     predictably
    -0.59
     stride
    -0.59
     passports
    -0.58
     continued
    -0.58
    POSITIVE LOGITS
    agnar
    1.00
    alkyrie
    0.97
    ookie
    0.94
    AME
    0.92
    aft
    0.91
    estial
    0.91
    elvet
    0.90
    esame
    0.89
    ampire
    0.89
    cellence
    0.89
    Activations Density 0.168%

    No Known Activations