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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. 4-RES-JB
    11. 4713
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    Explanations

    mentions of things being concentrated or focused in a particular location or group

    oai_token-act-pair · gpt-3.5-turbo

    instances and discussions of concentration or centralization of resources or power

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

    No Comments

    Negative Logits
    named
    -0.77
    posted
    -0.74
    ne
    -0.73
    anne
    -0.73
    clad
    -0.72
    oho
    -0.71
    conn
    -0.70
    quel
    -0.69
    acl
    -0.67
    ĪĴ
    -0.66
    POSITIVE LOGITS
     concentrated
    1.00
     concentration
    0.87
     concentrating
    0.85
    iple
    0.85
     concentrate
    0.85
     concent
    0.84
     Concent
    0.81
    erto
    0.80
    mble
    0.78
    glomer
    0.74
    Activations Density 0.009%

    No Known Activations