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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. 7-RES-JB
    11. 21818
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    Explanations

    sentences that provide instructions or steps to follow in a process

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "we" indicating collaborative or collective language

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    forms
    -0.70
    âĺħâĺħ
    -0.59
     Organizations
    -0.59
    Contents
    -0.58
     FEC
    -0.57
    Times
    -0.57
     Crest
    -0.57
     srfAttach
    -0.56
     Amar
    -0.56
     Notting
    -0.56
    POSITIVE LOGITS
    're
    1.07
    've
    1.07
    ird
    1.05
    eding
    1.02
    ighed
    0.98
     assume
    0.98
    'll
    0.98
    IRD
    0.92
    arers
    0.92
    'd
    0.91
    Activations Density 0.202%

    No Known Activations