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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 19727
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    Explanations

    dates and locations mentioned in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    various forms of punctuation and their associated contexts in textual data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lando
    -0.83
     Schwartz
    -0.80
    zona
    -0.76
     favor
    -0.76
    avorable
    -0.74
    ospons
    -0.74
     favors
    -0.73
    ASHINGTON
    -0.71
     DOE
    -0.71
     someday
    -0.70
    POSITIVE LOGITS
     apologise
    1.12
    Scotland
    1.09
     apologised
    1.05
     mould
    1.01
     fibre
    1.01
     centres
    1.00
     realise
    0.99
     recognise
    0.99
     Premiership
    0.98
     humour
    0.98
    Activations Density 0.291%

    No Known Activations