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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. 4422
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    Explanations

    personal pronouns 'I' followed by an action or a thought

    oai_token-act-pair · gpt-3.5-turbo

    sequences of empty text or breaks in content

    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
    terday
    -0.65
     equivalents
    -0.59
     totality
    -0.58
    minster
    -0.57
     srfAttach
    -0.56
     substitutes
    -0.53
    artney
    -0.52
    heres
    -0.52
     marginal
    -0.51
     indistinguishable
    -0.51
    POSITIVE LOGITS
    'm
    1.25
    've
    1.08
     suppose
    0.97
    WI
    0.96
    ANS
    0.94
     am
    0.91
    EEE
    0.91
    'll
    0.90
    nex
    0.86
    'd
    0.85
    Activations Density 0.191%

    No Known Activations