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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
    11. 766
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    Explanations

    prepositions 'for' followed by a location or a purpose

    oai_token-act-pair · gpt-3.5-turbo

    the word "for" used in various contexts

    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
    illin
    -0.69
    heart
    -0.65
    Ohio
    -0.65
    aults
    -0.65
    ieth
    -0.65
    MJ
    -0.63
    Fle
    -0.63
    arth
    -0.62
    glass
    -0.62
     Bought
    -0.62
    POSITIVE LOGITS
     awhile
    1.05
     example
    1.01
     instance
    1.00
    geries
    0.97
     purposes
    0.90
     reasons
    0.88
    ked
    0.87
     eternity
    0.83
     starters
    0.81
    gery
    0.81
    Activations Density 0.166%

    No Known Activations