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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. 0-RES-JB
    11. 23212
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    Explanations

    phrases indicating something is made easier

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating simplification or ease of action

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    avage
    -0.59
    rist
    -0.58
    uster
    -0.58
    lie
    -0.57
    ________________________
    -0.56
    urs
    -0.55
    orial
    -0.54
     Wake
    -0.54
     Chronicles
    -0.53
    ude
    -0.53
    POSITIVE LOGITS
     easier
    3.25
     harder
    2.11
     easy
    2.03
     quicker
    1.97
     easiest
    1.93
     simpler
    1.92
    easy
    1.89
     smoother
    1.82
     safer
    1.76
     tougher
    1.75
    Activations Density 0.014%

    No Known Activations