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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. 8871
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    Explanations

    phrases indicating future actions or plans

    oai_token-act-pair · gpt-3.5-turbo

    statements indicating future events or actions

    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
    76561
    -0.80
     Syndrome
    -0.69
     Chal
    -0.64
    CTV
    -0.63
     slaying
    -0.62
     syndrome
    -0.61
     Checking
    -0.60
     practicing
    -0.59
     punching
    -0.58
    hea
    -0.58
    POSITIVE LOGITS
     be
    1.15
     continue
    1.04
     coincide
    1.03
     undoubtedly
    1.03
     culmin
    1.03
     enable
    1.00
     doubtless
    1.00
     suffice
    0.99
     determine
    0.96
     hopefully
    0.96
    Activations Density 0.214%

    No Known Activations