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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. 10-RES-JB
    11. 8042
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    INDEX
    Explanations

    prepositions, especially 'to'

    oai_token-act-pair · gpt-3.5-turbo

    instances of common phrases indicating perception or opinion

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Accessed
    -0.67
    Cola
    -0.67
    uli
    -0.65
    ###
    -0.65
    arity
    -0.64
    urance
    -0.62
    ergy
    -0.62
    eon
    -0.62
    ļéĨĴ
    -0.61
    lycer
    -0.61
    POSITIVE LOGITS
     outsiders
    1.35
     me
    1.23
     us
    1.13
     anyone
    1.08
     observers
    1.07
     behold
    1.05
     anybody
    1.00
     onlook
    1.00
     everyone
    0.97
     viewers
    0.96
    Activations Density 0.138%

    No Known Activations