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    1. Home
    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. 18133
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    Explanations

    phrases related to completion or accomplishment

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word 'didn't' in various contexts

    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
     RAD
    -0.71
     guiActiveUnfocused
    -0.69
    osate
    -0.67
     swept
    -0.65
     Pom
    -0.62
     continuum
    -0.62
     Mutant
    -0.62
     Mour
    -0.60
     Nib
    -0.60
     Golem
    -0.60
    POSITIVE LOGITS
    yet
    0.87
    _>
    0.86
    âģ
    0.85
    âĢķ
    0.85
    £
    0.85
    Ì
    0.82
    ¦
    0.81
    ¹
    0.81
    evil
    0.80
    Ĭ
    0.80
    Activations Density 0.170%

    No Known Activations