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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. 14302
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    Explanations

    phrases related to actions and consequences

    oai_token-act-pair · gpt-3.5-turbo

    specific symbols or characters in the text that may indicate formatting or special notation

    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
    pires
    -0.80
    ibles
    -0.63
    pired
    -0.59
     Isles
    -0.55
    itialized
    -0.54
    estine
    -0.52
    ALT
    -0.50
    alty
    -0.49
    irs
    -0.49
    essor
    -0.49
    POSITIVE LOGITS
    but
    1.21
     but
    1.18
    because
    1.09
     whereas
    1.02
     because
    1.01
     although
    1.00
     preferring
    0.99
    unless
    0.99
     implying
    0.94
    until
    0.92
    Activations Density 0.328%

    No Known Activations