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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. 3892
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    Explanations

    notable or prominent mentions in a given context

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing significant details or distinctions

    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
    isf
    -0.69
    enary
    -0.66
    redit
    -0.64
    inav
    -0.64
     happiest
    -0.63
    Run
    -0.62
    Enlarge
    -0.61
    remlin
    -0.61
    fee
    -0.60
    elo
    -0.60
    POSITIVE LOGITS
     evidenced
    0.85
    çĶ°
    0.80
     namely
    0.77
    ãĤŃ
    0.65
     اÙĦ
    0.64
    taining
    0.62
    nia
    0.61
    çīĪ
    0.60
    thood
    0.60
     eyeing
    0.59
    Activations Density 0.087%

    No Known Activations