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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. 23860
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    Explanations

    terms related to cryptocurrency and financial news, particularly 'bitcoin', 'price', and 'news'

    oai_token-act-pair · gpt-3.5-turbo

    patterns and discussions related to investment and financial markets

    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
     Goo
    -0.71
     Ribbon
    -0.70
     Parenthood
    -0.61
     increments
    -0.59
     Mach
    -0.58
     brackets
    -0.58
     Myst
    -0.57
     Kik
    -0.57
     scrut
    -0.57
     reversible
    -0.57
    POSITIVE LOGITS
    /)
    1.47
    _-_
    1.39
    _
    1.36
    _(
    1.29
    /#
    1.26
    /?
    1.22
    __
    1.14
    />
    1.11
    /,
    1.04
    /.
    1.03
    Activations Density 0.079%

    No Known Activations