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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 24152
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    Explanations

    proper nouns or specific names occurring in sentences

    oai_token-act-pair · gpt-3.5-turbo

    instances of the verb "was" indicating past actions or states

    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
    ennett
    -0.62
    rers
    -0.62
    ants
    -0.62
    antics
    -0.61
    Footnote
    -0.61
     [+]
    -0.60
    otic
    -0.59
    entric
    -0.59
    zynski
    -0.59
     IMAGES
    -0.58
    POSITIVE LOGITS
     originally
    1.13
     formerly
    1.10
    hes
    1.08
     previously
    1.02
    wolves
    0.94
     supposed
    0.91
     conceived
    0.89
     initially
    0.89
     instrumental
    0.84
     destined
    0.80
    Activations Density 0.170%

    No Known Activations