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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. 655
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    INDEX
    Explanations

    adjectives related to characteristics or qualities, such as 'sheer', 'muted', 'lavish', 'bold', and 'little'

    oai_token-act-pair · gpt-3.5-turbo

    instances of exaggerated or absurd claims

    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
    ilaterally
    -0.59
    ensis
    -0.58
    omever
    -0.57
    *.
    -0.57
    itored
    -0.56
    ocrates
    -0.55
    $.
    -0.54
    +.
    -0.53
    !.
    -0.52
    ascript
    -0.52
    POSITIVE LOGITS
     consists
    0.61
     consisted
    0.57
     question
    0.51
     isn
    0.51
     includes
    0.50
     is
    0.49
     comprises
    0.49
     shortage
    0.49
     assumes
    0.48
     seems
    0.47
    Activations Density 0.856%

    No Known Activations